Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

In this paper we propose a technique for softwareimplementation of Edge detection which serves as a preprocessing step for many image processing algorithms such as image enhancement, image segmentation, tracking and image and video coding. The Edge Detection is one of the key stages in image processing and object recognition. Edge detection is a basic operation in image processing, it refers to...

Edge detection and edge enhancement techniques play an essential role in interpreting potential field data. This paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. The edge detection methods comprise analytic signal, total horizontal derivative (THDR), theta angle, tilt angle, hyperbolic of tilt angle (H...

Image feature detection and matching is a fundamental task in image processing and machine vision. In this paper we present novel methods for feature detection and matching. We have used edge points and their accumulated curvature information for feature detection. The detected features are then matched using a new method called “fuzzy-edge based feature matching”. To increase the speed of matc...

In this paper the comparative analysis of different edge detection algorithms is presented. The edge is the basic characteristic of image. In an image, an edge is a curve that follows a path of rapid change in image intensity. Edges are often associated with the boundaries of objects in a scene. Edge detection is used to identify the edges in an image and significantly reduces the amount of dat...

A methodology for implementing the real time image processing applications on Field programmable gate Arrays is presented in this paper. In this we proposed the algorithms for image edge detection in which variable scene illumination make edges and object detection difficult. Edge detection is the first step in many computer vision applications. Edge detection significantly reduces the amount o...