Downloads: 112 | Views: 247
Review Papers | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014 | Popularity: 6.7 / 10
Analysis of Edge Detection Techniques for Complex Background Images
Er. Sheffali Bamba
Abstract: This paper presents a review on different colour based edge detection techniques. Edge detection has found to be most important step in many critical vision applications. It actually results in the black and white (binary) image where each object is differentiate by lines (either black or white). Edges are basically the area in the image where sharp changes exist. It has been found that the most of the existing techniques has neglected the use of colours while detecting the edges but in many applications a region can be categorised based on the colour. This paper has shown that the most of the existing techniques fails in case of images with complex background.
Keywords: Edge detection, PCA, Hue, Morphological operations
Edition: Volume 3 Issue 5, May 2014
Pages: 1649 - 1654
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 2
Research Paper, Computer Science & Engineering, India, Volume 10 Issue 9, September 2021
Pages: 649 - 652Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering
Babita Chauhan, Preeti Sondhi
Downloads: 5
Survey Paper, Computer Science & Engineering, India, Volume 10 Issue 5, May 2021
Pages: 948 - 951Survey on Various Image Segmentation Techniques
Babita Chauhan
Downloads: 5 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Experimental Result Paper, Computer Science & Engineering, India, Volume 11 Issue 12, December 2022
Pages: 717 - 723Effective Feature Extraction and Classification Method for Potato Foliar and Tuber Disease Detection using Machine Learning
Megha Rani Raigonda, Sujatha P. Terdal
Downloads: 100
Review Papers, Computer Science & Engineering, India, Volume 4 Issue 9, September 2015
Pages: 1624 - 1627Video Segmentation Using Global Motion Estimation and Compensation
Pallavi R. Wagh, Shubhangi Vaikole
Downloads: 106
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 1537 - 1542Remote Sensing Satellite Image Fusion Using Fast Curvelet Transforms
Namratha H. N., Raghu M. T.