The week's pick
Random Articles
Reseach Article
Evaluation of Entropy-based Edge Detector Methods for Human Object
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 129 - Number 13 |
| Year of Publication: 2015 |
| Authors: Arwa Darwish Alzughaibi, Zenon Chaczko |
10.5120/ijca2015907077
|
Arwa Darwish Alzughaibi, Zenon Chaczko . Evaluation of Entropy-based Edge Detector Methods for Human Object. International Journal of Computer Applications. 129, 13 ( November 2015), 1-5. DOI=10.5120/ijca2015907077
Abstract
In the field of image processing, edges of an image are important as they characterize boundaries. To reduce the volume of data and refine insignificant information without damaging the structural properties of an image, a process called Image Edge Detection may be performed. Understanding algorithms of edge detection is therefore imperative because it is essential in image processing, particularly in object detection. This paper aimed to recognize this importance to detect human object in particular by conducting an experiment , with emphasis on entropy. Similarly, a comparison of the entropy-based edge detector was done based on the different edge detection techniques such as Prewitt, Robert, Sobel, Canny, and LOG operators. Result show that Canny edge detector exhibits a better performance as compared to the other edge detectors to detect the human object in the image. This is derived from the detectors
References
- Graz01 dataset object detection. http://www.emt.tugraz. at/~pinz/data/GRAZ_01/. Accessed: 2015-09-30.
- Mrs Anandhi, MS Josephine, V Jeyabalaraja, and S Satthiyaraj. Comparison of canny and sobel edge in detection techniques. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY, 4:550–555, 2015.
- John Canny. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, (6):679–698, 1986.
- Binsu C Kovoor, MH Supriya, and K Poulose Jacob. Effectiveness of feature detection operators on the performance of iris biometric recognition system. International Journal of Network Security & Its Applications (IJNSA), 5(5), 2013.
- Raman Maini and Himanshu Aggarwal. Study and comparison of various image edge detection techniques. International journal of image processing (IJIP), 3(1):1–11, 2009.
- N Senthilkumaran and R Rajesh. Edge detection techniques for image segmentation–a survey of soft computing approaches. International journal of recent trends in engineering, 1(2), 2009.
- GE Sotak and Kim L Boyer. The laplacian-of-gaussian kernel: a formal analysis and design procedure for fast, accurate convolution and full-frame output. Computer Vision, Graphics, and Image Processing, 48(2):147–189, 1989.
- Jianjun Zhao, Heng Yu, Xiaoguang Gu, and Sheng Wang. The edge detection of river model based on self-adaptive canny algorithm and connected domain segmentation. In Intelligent Control and Automation (WCICA), 2010 8th World Congress on, pages 1333–1336. IEEE, 2010.
- Peng Zhao-Yi, Zhu Yan-Hui, and Zhou Yu. Real-time facial expression recognition based on adaptive canny operator edge detection. In Multimedia and Information Technology (MMIT), 2010 Second International Conference on, volume 2, pages 154–157. IEEE, 2010.
Index Terms
Keywords