A Novel Edge Detection Technique for Image Classification and Analysis
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 15, Issue 5
Abstract
The main aim of this project is to propose a new method for image segmentation. Image Segmentation is concerned with splitting an image up into segments (also called regions or areas) that each holds some property distinct from their neighbor. Simply, another word for the Object Detection is “Segmentation “. Segmentation is divided into two types they are Supervised Segmentation and Unsupervised Segmentation. Segmentation consists of three types of methods which are divided on the basis of threshold, edge and region. Thresholding is a commonly used enhancement whose goal is to segment an image into object and background. Edge-based segmentations rely on edges found in an image by edge detecting operators. Region based segmentations basic idea is to divide an image into zones of maximum homogeneity, where homogeneity is an important property of regions. Edge detection has been a field of fundamental importance in digital image processing research. Edge can be defined as a pixels located at points where abrupt changes in gray level take place in this paper one novel approach for edge detection in gray scale images, which is based on diagonal pixels in 2*2 region of the image, is proposed. This method first uses a threshold value to segment the image and binary image. And then the proposed edge detector. In order to validate the results, seven different kinds of test images are considered to examine the versatility of the proposed edge detector. It has been observed that the proposed edge detector works effectively for different gray scale digital images. The results of this study are quite promising. In this project we proposed a new algorithm for edge Detection. The main advantage of this algorithm is with running mask on the original image we can detect the edges in the images by using the proposed scheme for edge detection.
Authors and Affiliations
Mr. Srinivasa Rao Elisala
Keywords
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