EDGE DETECTION USING MULTISPECTRAL THRESHOLDING
Journal: ICTACT Journal on Image and Video Processing (IJIVP) (Vol.6, No. 4)Publication Date: 2016-05-01
Authors : K.P. Sivagami; S.K. Jayanthi; S. Aranganayagi; A. Geetha;
Page : 1262-1272
Keywords : Edge Detection; Multispectral Thresholding; Otsu Method; Satellite Images; EDMST;
Abstract
Edge detection is a fundamental tool in image processing and computer vision, particularly in the areas of feature detection and extraction. Among various edge detection methods, Otsu method is one of the best optimal thresholding methods for general real world images with regard to uniformity and shape measures. In this paper, a multispectral thresholding algorithm using Otsu method is proposed to detect the edges in multispectral images. Natural, art and simulated images are considered for testing. Since the edges are well known in the simulated images, they are considered for performance evaluation. The results of proposed method, Edge Detection using MultiSpectral Thresholding (EDMST), are compared against the results of Canny Otsu, Improved Otsu, Median based Otsu and Improved Gray Image Otsu edge detection algorithms based on the human visual system, the number of edges and the number of pixels. The experimental results show that the proposed method achieves better performance and hence applied on Satellite images.
Other Latest Articles
- AN ILLUMINATION INVARIANT FACE RECOGNITION BY ENHANCED CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION
- FACE RECOGNITION BY EMBEDDING OF DT-CWT COEFFICIENT USING SOM AND ENSEMBLE BASED CLASSIFIER
- COMPUTER AIDED DIAGNOSIS FOR DETECTION AND STAGE IDENTIFICATION OF CERVICAL CANCER BY USING PAP SMEAR SCREENING TEST IMAGES
- COMBINING LAPLACIAN AND SOBEL GRADIENT FOR GREATER SHARPENING
- CLASSIFICATION OF CERVICAL CANCER CELLS IN PAP SMEAR SCREENING TEST
Last modified: 2016-10-25 15:47:47