Showing papers on "Image conversion published in 1993"

Colour registration system for a printing press

Abstract: A control system is disclosed for controlling misregistration between the colors of an image printed on a web. The system includes an imaging device such as a camera or group of cameras, a processor, and image conversion circuits coupled to the processor. The system detects print color misregistration based upon the signals produced by the imaging device as a result of scanning the printed image. The conversation circuits convert the signals to signals usable by the processor to determine the color densities of the various colors within the image. These color densities are compared with reference color densities stored in a memory of the processor, where the reference color densities may be generated from a source such as the printing plates used to print the image for which misregistration is being monitored. Based upon the comparison of the color densities derived as a result of scanning the printed web, and the reference color densities, a processor operates to produce registration offset values between the printed colors which are used to control a print controller which controls the print units such that the colors of the printed image are placed into registration.

Compound eye image pickup device

Abstract: PURPOSE: To improve the efficiency of extracting relative position information and to shorten extraction time by judging the position of a mutually common part from plural images and controlling it based on a prescribed order. CONSTITUTION: In this compound eye image pickup device, by picking up the images of an object by using the two image pickup systems of a right image pickup system 10R and a left image pickup system 10L and parallelly connecting the obtained two images, one panoramic sysnthetic image is formed. Respective lens barrels incorporating respective image pickup lens groups 11L and 11R are respectively driven corresponding to control signals from the congestion angle control part 23 of an arithmetic part 20 and connected to the rotary shafts of congestion angle motors 18L and 18R and thus, the lens groups 11L and 11R are rotated integrally with respectively provided color resolving prisms 12L and 12R and CCD sensors 13L and 13R and a congestion angle formed by the optical axes of the lens groups 11L and 11R is set. Also, an image output part 40 is connected through an image processing part 30 to the sensors 13L and 13R, video signals from an image input part and an image conversion rate are inputted to it and the position of a focusing object surface is controlled. COPYRIGHT: (C)1995,JPO

Image conversion device capable of compensating resolution

Abstract: PURPOSE:To obtain an output image signal of high resolution irrelevantly to deterioration in resolution by generating a high-frequency component from an input image signal of low resolution with small memory capacity. CONSTITUTION:An SD(standard resolution) video signal is supplied to an input terminal 1. This SD video signal is converted by a block converting circuit 2 into block structure (2X2) and compressed by an ADRC encoder 6. Dynamic ranges DR and minimum values MIN are obtained, block by block, and a code signal DT which is compressed in the number of bits for each of the picture elements of the blocks is obtained. This code signal DT is used as the address input of a memory 3. The memory 3 is stored with a previously generated mapping table, the code signal of block structure (4X4) is read out of the memory 3 and multiplied by a quantization step, and the minimum value MIN is added to the multiplication output, thereby restoring the data. This restored data are converted by a block decomposing circuit 4 in the order of the raster scanning and led out to an output terminal 5.

Moving image processor

Abstract: PURPOSE:To convert a mobile object into an image which is equivalent to an image imaged from an arbitrary space location or an arbitrary time base by performing an image conversion for which a surface that moves in the three- dimensional space is utilized. CONSTITUTION:The image obtained at the time of a measurement is recorded with the parameters of camera heads 11 and 12 and three-dimensional information in a recording unit 13 and is inputted in an image edition unit 14. The parameter of a virtual camera is inputted from a virtual camera controller 17. In the image edition unit 14, the deformation of the video from the camera heads 11 and 12 is performed based on these information and a virtual camera image 18 is outputted. Namely, the image editing unit 14 projects the image of an imaged mobile object on one of conversion surfaces within moving space and converts the image into an equivalent image existing in space location or a time base which is different from the camera heads 11 and 12. This means performs an image conversion by one image unit and uses different conversion surfaces according to the movement of the mobile object.

Omnidirectional vision system

Abstract: PROBLEM TO BE SOLVED: To provide an omnidirectional vision system that can sufficiently trace a moving picture even when number of pixels is increased through high- speed image conversion processing and can be downsized. SOLUTION: The omnidirectional vision system is provided with an optical system 1 that can obtain a video image with a vision area around 360 degrees and convert the central projection, an image pickup means 2 that converts an optical image obtained through the optical system 1 into image data, an image recording means 3 that records an output from the image pickup means 2, an image conversion means 4 that receives image data into a panorama image or a perspective image or the like, a display means 5, and a display control means 6. The image control means 4 consists of a hardware unit including an arithmetic logic circuit for panorama conversion and perspective conversion and can conduct image conversion processing at a higher speed than that of a conventional technology where software conducts the processing and then the omnidirectional vision system can be downsized.

Non-destructive test method

Abstract: PURPOSE:To obtain the method in which a color measurement image is displayed and the property conditions of a surface to be examined become easy to recognize. CONSTITUTION:After a white laser beam containing three original colors is projected onto a face 2 to be examined and its reflected beam is resolved by each wavelength of the three original colors, it is received with the use of optical detection sensors 8a-8c by each wavelength to convert them into an electrical signal. Image conversion processing 10 of the electrical signals is performed to display on a monitor 11 in color.

'karaoke' (recorded orchestral accompaniment) player

Abstract: PURPOSE:To provide universel stage production by clearly indicating a position of a text to be sung although the size is reducible by using small storage capac ity, and displaying an effective background picture matching with the text and enabling lighting illumination matching with the text. CONSTITUTION:This player is provided with a storage and reproduction device 2 storing music names and texts in the form of character codes and the timing codes of singing times of the text; when a music number is selected, a controller reads the character codes out of the storage and reproduction device 2 and displays them on a display device 4, and performs control so that the display color is changed according to the timing codes. The storage and reproduction device 2 stores image information by blocks of the character codes and many short images are selected according to the image information and displayed; and a stage controller 9 controls the illumination of lighting fixtures and further a timbre image conversion device 14 generates timbre image information from the image information to control an acoustic device 11.

Radiation image reader

Abstract: PURPOSE:To make the fading of a reading signal in a practical low-temperature area small, to make image quality excellent and to improve the reading sensitivity of the signal by using a specified stimulable phosphor body for a conversion panel and specifying temperature on the inside of a reader incorporating the conversion panel CONSTITUTION:When a radiation source 101 is turned on, the transmitted radiation image of an object 102 is recorded and stored in the phosphor 104 of the radiation image conversion panel 103 Thereafter, the panel 103 is scanned by a stimulating light source 105 and stimulated luminescence emitted by the phosphor 104 is detected by a photodetector 107 At this time, an image recording part and an image reading part are covered with a housing 121 and a means 123 which cools the panel 103 is provided Then, since the phosphor including iodine is used for the panel 103, the intensity of the stimulated luminescence is high Besides, since the panel is cooled to the temperature of 250 deg-300 degK by the cooling means 123, the fading of the intensity of the stimulated luminescence can be suppressed and the signal is easily corrected

Device for improving image

Abstract: PURPOSE:To enhance the quality of an image without increasing the capacity of memory for storing a comparative pattern. CONSTITUTION:The quality of an image of picture element under observation is improved by means of an image conversion means 3 and at the same time it is judged by means of a character-picture judging means 4 whether the peripheral region mXn of said picture element is a character, line drawing region or a pattern region, so that an image wherein the optimum picture quality improvement has been applied to its picture element under observation is selected based on the result of judgement to obtain a good image.

Radiation image conversion method

Abstract: PURPOSE: To obtain images having excellent diagnosability to a region not irradiated with radiations by discriminating a subject part formed by transmission of the radiations through a subject, a through part formed without being shielded by the subject and a shielding part not irradiated with the radiations, extracting the subject image data and subjecting the data to image processing. CONSTITUTION: The frequencies of pixel values are successively compared from the through part side of the large image values for the previously read images by the histogram of the digital image data on the breast obtd. by previous reading. Consequently, there are the through part of a steep one peak and the pixel value region of broad width. These parts are the skin. There are then the lungfield, the cardiodiaphragm and the mediastinal septum in order of the larger pixel values. The final peak is the part of a radiation protector. The pixel value regions to be subjected to image processing, etc., including the through part and the subject transmission part are selected by detecting these peaks. The regulation of the tube voltage of a photoelectric converter prior to normal reading and the gain adjustment of an amplifier before input to an A/D converter are executed. COPYRIGHT: (C)1994,JPO&Japio

Distance measuring method and image input device

Abstract: PURPOSE:To obtain an image input device which allows an image to be input with the image pick-up equipment by storing a plurality of images in an image storage means. CONSTITUTION:A face image inputted by an image pick-up equipment 101 is subjected to pre-treatment such as noise elimination and smoothing and then is subjected to extraction of characteristic points at a character extraction part 103. The characteristic points extracted by the character extraction part 103 are stored and accumulated in the image storage part 104. These plurality of frames of characteristic point images which are stored and accumulated in the image storage part 104 are converted to time-axis direction by an image conversion part 105. A distance calculation part 106 calculates distance by using the characteristic point image subjected to the above conversion processing.

Image conversion circuit

Abstract: PURPOSE:To prevent display from vertically deviating at the time of switching between a mirror image display and a normal image display CONSTITUTION:An up/down counter 38 operates as an up counter or a down counter alternately for each horizontal line at the time of outputting the mirror image, always operates as the up counter at the time of outputting the normal image, and is cleared by a horizontal synchronization signal 32 At a certain horizontal line a storage circuit 22 stores original image data at an address indicated by the counter 38, and a storage circuit 24 reads out the stored data from the address indicated by the counter 38 The read-out data are converted into an analog signal by a D/A converter 26 and outputted from an output terminal 28 At the next horizontal line, the storage circuit 24 stores the original image data and the storage circuit 22 reads out the stored data

X-ray image converter

Abstract: PURPOSE:To eliminate interference fringe in a protective film concerning an X-ray image converter which has a new digital radiography system replacing the conventional medical radio-graph, especially an X-ray image conversion sheet using an accelerated photophorescence as memory medium. CONSTITUTION:A X-ray image conversion sheet 1 produced by laminating a phosphor layer 12 and a protective film 13 on a support 11 is used as memory medium, excitation light 2 emitted from a light source 3 is focused onto the phosphor layer 12 with a focusing lens 4 and an accelerated phosphoroesecnce of the phosphor layer 12 is excited to read an image stored. In an X-ray image converter thus arranged, a product of the numerical aperture NA of the focusing lens 4 and the thickness of a protective film 13 formed on the phosphor layer 12 is made larger than 0.1mm or 0.1mm.

Static image format conversion for advanced multimedia

Abstract: The requirements and taxonomy of still image conversion problems for advanced multimedia applications are indicated. Sophisticated signal processing algorithms are studied for some static image format conversion problems without motion dependence. The main quality problems in this area are identified, and improved algorithms are proposed. These algorithms are designed from the perceptual point of view to eliminate blurring, flickering, and information loss in operations such as zooming, aspect ratio change, and progressive-to-interlace conversion. Test results confirm the improved performance of these algorithms compared with the existing methods. >

Compact Disc Serial Number Inspection System

Abstract: This paper presents a reliable neural network based system for compact disc serial number inspection. Four major steps are performed in this system, namely polar image conversion, segmentation, recognition, and verification. Polar image conversion straightens the circular stripe images containing the serial numbers to horizontally linear images, segmentation divides the images into separate character segments, recognition classifies the separate character segments by a trained neural network, and verification double checks the characters with their verification neural networks if the serial number is known. Special back-propagation training processes for recognition and verification neural networks are used to increase the system's performance. Excellent recognition results for this system implemented in the Sony SUPER vision system have been obtained. Moreover, this system can process more than 3 compact discs in one second.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Image area determining method and image processing method and apparatus for radiation image

Abstract: PURPOSE:To achieve the optimum image processing by a method wherein image data of a radiation image is analyzed to determine a desired image area and an image area for determining image processing conditions is extracted optimally to ensure the optimum image processing data while achieving a handiness of the apparatus. CONSTITUTION:An X-ray irradiator 1 make X rays irradiate an object 2. On the other hand, an image reader 14 forms an latent image corresponding to irradiation X rays with an accelerated phosphofluorescence layer of a radiation image conversion panel 3. The radiation image panel 3 generates an accelerated fluorescence proportional to a light beam to be irradiated from an accelerated fluorescence excitation light source 4 while the filter 5 allows an accelerated phosphofluo-rescence alone to be impinged into a photoelectric converter 6. which 6 outputs a current signal proportional to the phos-phofluorescence to an A/D conversion section 7. Moreover, the A/D conversion section 7 transfers image data to an image processor 8 at a specified timing. The image processor 8 is provided with an image area determining means 1, a contrast processing/determining means 12, a contrast processing means and the like to execute an image processing.

X-ray image-conversion panel

Abstract: This paper describes the x-ray image conversion panel (XICP) converting x-ray images to visible images. It is shown that the XICP consists primarily of a photoconductive (PC) layer and an electro-luminescent (EL) layer sandwiched together between two electrodes. Some results such as resolution, response speed, and output brightness are given.

Feature-classification techniques applicable to common database development for mission rehearsal and training

Abstract: To accurately model imagery for converting a single image source to generate imagery for another sensor, it is necessary to develop feature classification techniques that can define significant features in the imagery so that the scattering properties of the incident radiation can be used as a technique to model the desired bands of the electromagnetic spectrum. This paper wifi be concerned with the extraction of features where either color infrared (CIR) or electro-optical (EO) imagery are available as the baseline source materials. The feature extraction process will be initiated using first order techniques for the iiiital classification. This initial classification will be followed by using higher order, more computationally intensive methods. Since higher order methods are usually specific to certain features, a battery of higher order methods will be required to classify the features in an entire scene. These various classified features will be linked using techniques of image analysis. These techniques have been used to generate a sequence of images, where CIR imagery was converted to thermal infrared (TIR) and synthetic aperture radar (SAR), for mission simulation and planning. The input images are processed initially to define regions based on some measure of homogeneity within regions of the image. This processing could be based on texture or measures of signature content within different bands of a niultispectral image. Both automatic and manual classification techniques, including synergistic coinbiiiatioiis, are applicable for this stage of processing. The precise form of the processing should also be guided by whether the regions being processed consist of nianmade or natural regions. This information is very useful since manmade structures usually consist of regularly shaped, rigid regions, whereas natural objects are less well defined and usually exhibit more randomness. Thus, for manmade object feature extraction, it is appropriate to use techniques for extracting lines, regions, ellipses/circles, or other regular-shaped regions with some regular periodicity occurring within selected, larger subregions. On the other hand, naturally occurring features could be more accurately extracted using texture methods or metrics defined based on the energy content of different bands of the electromagnetic spectrum. The feature extraction techniques discussed in this paper are hierarchical in nature to reduce the computational requirements imposed on developing the large set of images required for realistic mission training. The first-order classification is most efficiently implemented by using the three bands of a CIR image which can be transformed from red, green, and blue to intensity, hue and saturation. This transformation has the twofold effect of iuakiiig the process independent of the total received intensity, while at the same time reducing the three parameter lookup table to a two parameter lookup table. The details and accuracy of these techniques, which have been implemented for mission simulation and planning, will be presented in the paper. Combining these techniques with texture methods, which are based on regularity measures of regions, leads to a refined classification. The final step in the procedure is to perform image analysis as a refinement procedure for the classification. Based on the scenes being analyzed and some known a priori scene content, detailed feature extraction procedures can be developed for specific features. Analysis of these features allows decision rules to be constructed based on the features and their interrelationships. These decision rules allow the system developer to encode the proper constraints into the algorithmic processes to determine when the feature actually exists and its limiting boundaries. As more practice and expertise is developed iii the image conversion process, these image analysis techniques will become more and more automated.