Topic
Edge enhancement
About: Edge enhancement is a research topic. Over the lifetime, 2324 publications have been published within this topic receiving 30962 citations.
Papers published on a yearly basis
Papers
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TL;DR: A new, computationally simple, and automatic method to extract the retinal blood vessel using several basic image processing techniques, namely edge enhancement by standard template, noise removal, thresholding, morphological operation, and object classification is presented.
Abstract: Diabetic retinopathy (DR) is increasing progressively pushing the demand of automatic extraction and classification of severity of diseases. Blood vessel extraction from the fundus image is a vital and challenging task. Therefore, this paper presents a new, computationally simple, and automatic method to extract the retinal blood vessel. The proposed method comprises several basic image processing techniques, namely edge enhancement by standard template, noise removal, thresholding, morphological operation, and object classification. The proposed method has been tested on a set of retinal images. The retinal images were collected from the DRIVE database and we have employed robust performance analysis to evaluate the accuracy. The results obtained from this study reveal that the proposed method offers an average accuracy of about 97 %, sensitivity of 99 %, specificity of 86 %, and predictive value of 98 %, which is superior to various well-known techniques.
25 citations
TL;DR: The PROM (Pockel's Read-Out Optical Modulator) is used to provide temporary storage of image or digital data which can then be read out by a laser for coherent optical processing.
Abstract: The operation of an electro-optic image modulator device for use in real-time optical processing systems is described. The PROM (Pockel's Read-Out Optical Modulator) is used to provide temporary storage of image or digital data which can then be read out by a laser for coherent optical processing. The stored image may undergo certain operations, such as level slicing, edge enhancement, or contrast inversion by utilizing the electronic characteristics of the device. This feature is useful for incoherent image processing, and also allows zero order suppression in coherent processing applications. The rapid recyclability, high optical quality and high resolution demonstrated by the device are required for practical utilization of the device in the applications described.
25 citations
16 Sep 1996
TL;DR: It is shown that the diffusion process is effective in edge enhancement in IR imagery and system parameters are derived to maximize the edge sharpening ability of the anisotropic diffusion pyramid.
Abstract: The problem of enhancing and detecting edges in infrared images is addressed in this paper. The proposed solution utilizes a multiresolution structure called the anisotropic diffusion pyramid (ADP), which is created by successive application of anisotropic diffusion and subsampling. A pyramid node linking process is used to segment the image and to detect edges. For the slowly varying sigmoidal edges in the IR imagery, it is shown that the diffusion process is effective in edge enhancement. Furthermore, system parameters are derived to maximize the edge sharpening ability of the ADP. The ADP avoids the "staircase" artifacts of single-resolution diffusion algorithms and avoids the localization and region merging problems of pyramids based on linear filters.
25 citations
Patent•
14 Jul 1995
TL;DR: In this paper, an image processing system for displaying pixel data on a screen performs a binary-encoding method using error diffusion with edge enhancement, where pixels to be binary encoded are divided into normal and edge regions, and the pixel data is binary encoded in accordance with the divided regions.
Abstract: An image processing system for displaying pixel data on a screen performs a binary-encoding method using error diffusion with edge enhancement. In the method for binary-encoding the image data, pixels to be binary-encoded are divided into normal and edge regions, and the pixel data is binary-encoded in accordance with the divided regions. By using the method, bars on the display screen which are unpleasant to the eye can be removed and an image with good edge sharpness can be obtained.
25 citations
TL;DR: A multichannel edge enhancing filter based on the vector median is introduced for enhancing degraded edges in color images and shows that the MEEF outperforms channelwise edge enhancing filtering in enhancing these degraded edges.
Abstract: In the paper, a multichannel edge enhancing filter (MEEF) based on the vector median is introduced for enhancing degraded edges in color images. An input multichannel signal is filtered with three subfilters, and the final output is determined by comparing the outputs of the subfilters and their vector median. Root signal and edge enhancement properties of the MEEF are examined in detail. In addition, the authors discuss line preservation and edge jitter resistance of the MEEF in noisy conditions. Finally, the MEEF is tested with: i) blurred edges caused by unfocusing or fast movement of camera, ii) serrated edges caused by interlaced scan, iii) false color edges caused by channel dispersion. The results show that the MEEF outperforms channelwise edge enhancing filtering in enhancing these degraded edges. >
25 citations