CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Approach to Improvise Canny Edge Detection using Morphological Filters

by Ankitha.a.nayak, Venugopala P S, Sarojadevi H., Niranjan.n.chiplunkar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 9
Year of Publication: 2015
Authors: Ankitha.a.nayak, Venugopala P S, Sarojadevi H., Niranjan.n.chiplunkar
10.5120/20368-2575

Ankitha.a.nayak, Venugopala P S, Sarojadevi H., Niranjan.n.chiplunkar . An Approach to Improvise Canny Edge Detection using Morphological Filters. International Journal of Computer Applications. 116, 9 ( April 2015), 38-42. DOI=10.5120/20368-2575

@article{ 10.5120/20368-2575,
author = { Ankitha.a.nayak, Venugopala P S, Sarojadevi H., Niranjan.n.chiplunkar },
title = { An Approach to Improvise Canny Edge Detection using Morphological Filters },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 9 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number9/20368-2575/ },
doi = { 10.5120/20368-2575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:41.464431+05:30
%A Ankitha.a.nayak
%A Venugopala P S
%A Sarojadevi H.
%A Niranjan.n.chiplunkar
%T An Approach to Improvise Canny Edge Detection using Morphological Filters
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 9
%P 38-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object detection is a computerized technology related to image processing used in images and videos, to identify instances of real world object. Object detection is usually achieved by edge detection. Edge detection is a process to identify the edges of image by finding the place where intensity changes rapidly. In this experiment an attempt is made to detect the objects by using canny edge detection method in java. The detected objects can be further used for watermarking purpose. The comparison between canny and sobel edge detection is carried out. Morphological filters are used to improve canny edge detection. Contour based learning technique is used to draw contours for detected objects.

References
  1. Radhika Chandwadkar, Saurabh Dhole, Vaibhav Gadewar, Deepika Raut, Prof. S. A. Tiwaskar "Comparison Of Edge Detection Techniques" Proceedings Of Sixth Iraj International Conference, 6th October 2013, Pune.
  2. Savitha G, Venugopala P S, Dr. Sarojadevi, Dr. Niranjan Chiplunkar, "An Approach For Object Detection And Tagging On Android Platform" Fifth International Conference On Signals And Image Processing 2014.
  3. Bing Wang, Shaosheng Fan "An Improved canny Edge Detection Algorithm" Second International Workshop On Computer Science And Engineering 2009.
  4. A. Kazlouski ,R. K. Sadykhov, "Plain objects detection in image based on a contour tracing algorithm in a binary image", IEEE 2014
  5. Jamie Shotton, Andrew Blake, Roberto Cipolla, "Contour-Based Learning for Object Detection", Tenth IEEE International Conference on Computer Vision, 2005.
  6. Reza Oji, "An Automatic Algorithm For Object Recognition And Detection Based On Asift Keypoints", Signal & Image Processing: An International Journal (SIPIJ), Vol. 3, No. 5, October 2012.
  7. Wenshuo Gao, Lei Yang, Xiaoguang Zhang, Huizhong Liu "An Improved Sobel Edge Detection", Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on (Volume: 5)
  8. G. T. Shrivakshan, Dr. C. Chandrasekar, "A Comparison of various Edge Detection Techniques used in Image Processing", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No 1, September 2012.
  9. Liu Gang , Ning Shangkun , You Yugan , Wen Guanglei , Zheng Siguo, "An Improved Moving Objects Detection Algorithm", Proceedings of the 2013 International Conference on Wavelet Analysis and Pattern Recognition, Tianjin, July, 2013.
  10. Cai-Xia Deng, Gui-Bin Wang , Xin-Rui Yang , "Image Edge Detection Algorithm Based on Improved Canny Operator", Proceedings of the 2013 International Conference on Wavelet Analysis and Pattern Recognition, Tianjin, July, 2013.
  11. Yubing Dong, Mingjing Li, Jie Li, "Image Retrieval Based on Improved Canny Edge Detection Algorithm, International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), Shenyang, China ,Dec 20-22, 2013.
  12. Weibin Rong, Zhanjing Li, Wei Zhang and Lining Sun, "An Improved Canny Edge Detection Algorithm", Proceedings of 2014 IEEE International Conference on Mechatronics and Automation, Tianjin, China August 3 - 6, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Canny Edge Detection Morphological Filters Object Detection Sobel Edge Detection.

Powered by PhDFocusTM