The fuzzy technique is an operator introduced in order to simulate at a mathematical level
the compensatory behavior in process of decision making or subjective evaluation. The …

First-order linear filters constitute the algorithms most widely applied to edge detection in
digital images. Nevertheless they don't allow good results to be obtained from images where …

Edge detection is a critical element in image processing, since edges contain a major
function of image information. The function of edge detection is to identify the boundaries of …

Image processing, a technology that allows people to manipulate and analyze data in the
form of digital images, is quickly becoming a basic tool for survival in the information age …

The research presented here is an attempt to use a very basic, low cost and non-specialized
microcontroller for image processing tasks. The applications emanating from such an …

A rule based fuzzy-approach system based on the concept of fuzzy logic is applied to the
curve partition point detection and segment classification processing. The concepts of curve …

Edge detection is a terminology in image processing and computer vision, particularly in the
areas of feature detection and feature extraction, to refer to algorithms which aim at …

Soft computing is an emerging field that consists of complementary elements of fuzzy logic,
neural computing and evolutionary computation. Soft computing techniques have found …

The current work focuses on the study of different edge detection techniques and analysis of
there relative performances. The recent advance of image processing has motivated on the …

Concentrate on the computational model of visual attention, in this paper, we present the
electric circuit model of the human retina cells on the base of lateral inhibit network and then …