Image conversion

About: Image conversion is a research topic. Over the lifetime, 2490 publications have been published within this topic receiving 19077 citations.

Method and apparatus for magnetic resonance for removing moving artifact

Abstract: PROBLEM TO BE SOLVED: To decrease artifact generated in a high resolution magnetic resonance image by a method wherein an image conversion parameter is determined by comparison with a low resolution magnetic resonance image and the high resolution magnetic resonance image is regenerated from a magnetic resonance data set depending on the image conversion parameter. SOLUTION: A high Fourier transformation operation unit 13 operates projection from a measured magnetic resonance signal and a high resolution magnetic resonance image is regenerated in a regeneration unit 14 and is displayed on an output unit 15. Each magnetic resonance signal digitized by a receiver 9 and appearing in the output of the receiver as a digital scanning value receives reverse Fourier transformation and the projection obtd. is used for regenerating a magnetic resonance image by using filtered background projection. In this case, an image conversion parameter is determined by comparison with a low resolution magnetic resonance image and the high resolution magnetic resonance image is regenerated from a magnetic resonance data set depending on the image conversion parameter.

Stereoscopic vision system

Abstract: A stereoscopic vision system which comprises an image conversion converter (C) which converts image information sent from at least two image cameras (L) and (R), and an image display converter (D). The information sets acquired simultaneously by at least two image cameras (L) and (R) are combined with each other and converted successively into information corresponding to at least one image frame of a computer image by the image conversion converter (C). The information corresponding to at least one image frame is re-constructed successively into an image frame of the computer and displayed as a stereoscopic image by the image display converter (D). The stereoscopic image information can be transmitted easily to a remote place by computer communication. The received image frame is displayed as vertically divided images, i.e. the image from the camera (L) or (R) and the image from the camera (R) or (L) which are displayed continuously and simultaneously. If the continuous image is separated into the frame image information from the camera (L) and the frame image information from the camera (R) by vertical synchronizing signals, the environment in which the flicker-free stereoscopic view is enabled is realized.

Image conversion system

Abstract: In an image conversion system, a film scanner reads out an image on photographic film and generates a digital image signal representing the image. The format of the digital image signal is converted into a predetermined format used in a digital camera, and the digital image signal in the predetermined format is recorded on a recording medium which can be loaded in the digital camera.

Image processing apparatus, image processing method, and image display apparatus

Abstract: An image processing device according to the present invention comprises a transmitted-light detection unit and an image conversion unit. The transmitted-light detection unit is configured to detect a grayscale value of a background image seen from the outside of a transparent display device. The image conversion unit is configured to generate a correction image based on a correction grayscale value obtained by subtracting the grayscale value of the background image detected by the transmitted-light detection unit from a grayscale value of an input image input to the transparent display device. According to an embodiment of the present invention, visibility can be improved without raising manufacturing costs of the transparent display device.

Classification of Marble Using Image Processing

Abstract: Classification of marble image according to usage purpose and quality is an important procedure for export. Discrimination between marble varieties is a difficult task during selection, since it requires trainings and experience. Therefore, the development of automatic prediction model based on image processing is a potential application area to support experts across the world. In this study an attempt has been made to develop marble variety classification model by comparing color, texture and ensemble of color and texture. In view of this, a digital image processing technique based on combined texture and color features have been explored good classification performance to classify varieties of marble image. On the average 60 images were taken from each of the three marble varieties (Grade A, Grade B, Grade C). The total number of images taken was 180. For the classification model we applied image preprocessing techniques; image acquisition, image conversion, noise removal, image enhancement, edge detection and image binarization. For texture extraction gray level co-occurrence matrix, for color extraction color histogram was applied. For classification five textures and six color features were extracted from each marble image. To build the classification models for prediction of marble varieties, K-Nearest Neighbors (KNN), Artificial Neural Network (ANN) are investigated. Based on experimental results, ANN outperforms KNN. Quantitatively, an average accuracy of 83.3% and 93.7% is achieved KNN and ANN respectively for Grade A, Grade B, Grade C varieties with the combined feature sets of color and texture. This shows an encouraging result to design an applicable marble classification model. Marble fractured and vines of the images affect greatly the performance of the classifier and hence they are the future research direction that needs an investigation of generic noise removal and feature extraction techniques.