Performance Analysis of Different Edge Detection Techniques for Image Segmentation

Objectives: This paper provides the performance analysis of three edge detection operators on the basis of intensity value and high gradient. Methods: Edge detection is considered to be the building blocks of image processing for object detection and it is an important technique in image segmentation. Sobel, Prewitt and Roberts are some of the edge detection operators discussed in this paper. MATLAB R2013a is used to analyze the performances of these operators using an input image. Findings: In order to classify the operators, the limitations are identified and the performance analysis is done on the basis of obtained results. Based on the intensity value, Prewitt produces better result than Sobel and Roberts. At the same time, Sobel locates the edges with high gradient. Likewise, Roberts produces quick result due to small filter. Application/Improvement: The performance of these operators has been analyzed and realized that each operator is recognized as the best under various conditions.

[1]  Umut Orhan,et al.  Image processing based quality control of the impermeable seams in multilayered aseptic packages , 2015, Expert Syst. Appl..

[2]  Wei Yeang Kow,et al.  Image segmentation via normalised cuts and clustering algorithm , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[3]  Rabul Hussain Laskar,et al.  Improving Face Recognition Rate with Image Preprocessing , 2014 .

[4]  A Study on Edge Detection Techniques for Natural Image Segmentation , 2013 .

[5]  M Radha,et al.  EDGE DETECTION TECHNIQUES FOR IMAGE SEGMENTATION , 2011 .

[6]  Maoguo Gong,et al.  Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation , 2013, IEEE Transactions on Image Processing.

[7]  João Paulo Papa,et al.  Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images , 2013, IEEE Transactions on Biomedical Engineering.

[8]  A AjalaFunmilola,et al.  Fuzzy k-c-means Clustering Algorithm for Medical Image Segmentation , 2012 .

[9]  Kannan,et al.  ON IMAGE SEGMENTATION TECHNIQUES , 2022 .

[10]  Zhang Jin-Yu,et al.  Edge detection of images based on improved Sobel operator and genetic algorithms , 2009, 2009 International Conference on Image Analysis and Signal Processing.

[11]  Ming Liu,et al.  A robust edge detection method with sub-pixel accuracy , 2014 .

[12]  Myeongsu Kang,et al.  A Hybrid Technique for Medical Image Segmentation , 2012, Journal of biomedicine & biotechnology.

[13]  Indrajeet Kumar,et al.  A CONVENTIONAL STUDY OF EDGE DETECTION TECHNIQUE IN DIGITAL IMAGE PROCESSING , 2014 .

[14]  V. Seenivasagam,et al.  Comparison of Clustering Methods for Segmenting Color Images , 2015 .

[15]  D. Sharma,et al.  A Study of Edge Detection Methods , 2012 .

[16]  Navneet Kaur Comparative Analysis of Various Edge Detection Techniques , 2013 .

[17]  Rajiv Kumar,et al.  A Comparative Study of Image Segmentation using Edge-Based Approach , 2013 .

[18]  Ersin Elbasi,et al.  Measurement of edge detection algorithms in clean and noisy environment , 2014, 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT).

[19]  Rajiv Kumar,et al.  Performance Evaluation and Comparative Analysis of Proposed Image Segmentation Algorithm , 2013 .

[20]  B. Karthikeyan,et al.  Analysis of Image Segmentation for Radiographic Images , 2012 .

[21]  Anuj Kumar,et al.  Comparison between Various Edge Detection Methods on Satellite Image , 2013 .

[22]  R. Krishna,et al.  Image Segmentation and Region Growing Algorithm , 2012 .

[23]  A. M. Khan,et al.  Image Segmentation Methods: A Comparative Study , 2013 .

[24]  Jaroslav Matej Determination of forestry machine's tilt angle using camera and image processing , 2014 .

[25]  Swapna Devi,et al.  Image Segmentation Techniques , 2022 .

[26]  Marie-Pierre Jolly,et al.  Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images , 2001, ICCV.

[27]  O. R. Vincent,et al.  A Descriptive Algorithm for Sobel Image Edge Detection , 2009 .

[28]  Giampaolo Ferraioli,et al.  Edge Detection Using Real and Imaginary Decomposition of SAR Data , 2014, IEEE Transactions on Geoscience and Remote Sensing.