Edge enhancement

About: Edge enhancement is a research topic. Over the lifetime, 2324 publications have been published within this topic receiving 30962 citations.

Nonlinear edge-enhancement filter

Abstract: Methods and apparatus for digital data array edge enhancement are disclosed. A local data window containing a data sample s is selected. Minimum and maximum sample values, max and min, are located within the window, and an edge deflection value ed is defined to have a value between max and min. A diffusion quantity is then calculated to move the value of s towards max, if s is greater than ed, or towards min, if s is smaller than ed. This approach has advantages over gradient-based edge-enhancement, including simplicity, convergence speed, and stability.

Image processing system and image processing program

Abstract: An image processing system includes a multiresolution decomposition section (109) for frequency decomposing an image signal into high and low frequency components at an nth stage, a correction coefficient calculation section (111) for calculating at least one of a gradation correction coefficient, a noise correction coefficient, and an edge correction coefficient with respect to the high frequency component at an ith decomposition stage (1≤i≤ n) based on at least one of the low frequency component at the ith decomposition stage, a visual system adaptation model, a noise amount estimation model, and an edge enhancement model, a correction processing section (112) for correcting the high frequency component based on the calculated correction coefficient, and a multiresolution composition section (113) for composing the image signal corrected based on the low frequency component and the corrected high frequency component.

Car Number Plate Detection With Edge Image Improvement

Abstract: In an automatic car number plate reading system, edge density can be used to successfully detect a number plate location for character recognition process due to the characteristics of the number plate. However the initial false detection rate will be increased along with the noise presented in a car image. A method is developed to improve the edge image by suppressing unwanted detail of a car image. It increases the Edge Density Discrimination in a car number plate location and reduces the initial false detection rate to optimize the detection performance.

Optical image processing by means of acousto-optic spatial filtration

Abstract: Results are presented of a theoretical and experimental study of a new method of optical image processing based on two-dimensional acousto-optic filtration of the spatial spectrum of images. Most attention is concentrated on the analysis of the acousto-optic cell transfer function form and its dependence on crystal cut, geometry of acousto-optic interaction and ultrasound frequency. Results of computer simulation of acousto-optic spatial filtering are illustrated by the example of an object in the form of an amplitude grating. Experiments investigating the transfer functions of acousto-optic cells with collinear and tangential geometry of acousto-optic interaction are described. Acousto-optic image processing is demonstrated experimentally using the example of the edge enhancement effect for some elementary images.

Medical image enhancement using threshold decomposition driven adaptive morphological filter

Abstract: One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image. In this paper, a new edge detected morphological filter is proposed to sharpen digital medical images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition, gradient-based operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the detected edge deblurring filter improved the visibility and perceptibility of various embedded structures in digital medical images. Moreover, the performance of the proposed filter is superior to that of other sharpener-type filters.