Image conversion

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

Image signal converter

Abstract: PROBLEM TO BE SOLVED: To provide an image signal converter capable of preventing degradation of the resolution in the case that downsizing processing is applied to an image signal and a plurality of images are displayed on the same screen, for example. SOLUTION: The image signal converter divides one screen image of received image signals in the unit of blocks each comprising m×n pixels, collects only pixels at the same positions depending on pixel positions in each of the divided blocks by one screen image to produce m×n sets of reduced images, and sequentially outputs m×n sets of the produced downsized images in a prescribed order so as to carry out image conversion without causing resolution degrading. COPYRIGHT: (C)2006,JPO&NCIPI

Improved Tooth Detection Method for using Morphological Characteristic

Abstract: In this paper, we propose improved methods which are image conversion and extraction method of watershed seed using morphological characteristic of teeth on complement image. Conventional tooth segmentation methods are occurred low detection ratio at molar region and over, overlap segmentation owing to specular reflection and morphological feature of molars. Therefore, in order to solve the problems of the conventional methods, we propose the image conversion method and improved extraction method of watershed seed. First, the image conversion method is performed using RGB, HSI space of tooth image for to extract boundary and seed of watershed efficiently. Second, watershed seed is reconstructed using morphological characteristic of teeth. Last, individual tooth segmentation is performed using proposed seed of watershed by watershed algorithm. Therefore, as a result of comparison with marker controlled watershed algorithm and the proposed method, we confirmed higher detection ratio and accuracy than marker controlled watershed algorithm.

Hardware Design of Color-based Image Retrieval System for Mobile Devices

Abstract: As the camera enabled mobile device distribution and the amount of images that users store are increased, there is an increase in the necessity of the image retrieval system which allows an efficient retrieval and management of images The color-based retrieval system brings out a specific feature, we call as color-feature, by splitting each partition of the space depending on its color Also, the system determines the similarity of images by calculating the differences from the color-feature from different image's spaces As the size and quantity of images which are supported by mobile devices increase, the image retrieval system processed using existing software that uses the CPU becomes a limitation in real-time processing Therefore, we have proposed and implemented a hardware architecture by accomplishing real-time color-based image retrieval system in our study Compared to the previous method using mobile CPU, experimental results show that the proposed hardware architecture reduces 99% processing time of image conversion and 99% processing time of image retrieval

Display system and method comprising image conversion processing that can be inspected without a visual check

Abstract: It can be determined without visually observing the display screen of a display device whether image conversion processing in a conversion circuit for outputting image data to the display device is normally performed. The conversion circuit extracts data at a position designated from a host apparatus from image data output to the display device, and outputs the extracted data to the host apparatus. In the host apparatus, image data obtained upon normal conversion in the conversion circuit is prepared in advance, and this image data is collated with the data sent from the conversion circuit to determine whether the operation of the conversion circuit is normal.

Method and device for direct photoelectronic image conversion of optical microscope

Abstract: THe photoelectronic image converting method is that through coincidence of the photosensitive surface of CMOS imaging sensor with the imaging surface of the microscope objective, optical image is converted directly into electric image signals The device includes a cylindrical casing with some boss, infrared cut-off filter, CMOS imaging sensor and CMOS driving circuit board installed successivelyfrom bottom to top inside the casing When it is used, the device in inserted into the eye lens barrel of optical microscope With simple structure and low cost, the present invention realizes high quality photoelectronic image conversion without needing any relay optical system