Comparative Analysis of Various Edge Detection Techniques and Cancer Cell Detection using Sobel Algorithm
K. J. S Lorraine1, K. Bala Teja2, G. Durga Devi3, K. Harika4
1K. J. S. Lorraine, Dept. of ECE, Sir C.R.Reddy College of Engineering, Eluru, AP, India.
2K. Bala Teja, Dept. of ECE, Sir C.R.Reddy College of Engineering, Eluru, AP, India.
3G. Durga Devi, Dept. of ECE, Sir C.R.Reddy College of Engineering, Eluru, AP, India.
4K.Harika, Dept. of ECE, Sir C.R.Reddy College of Engineering, Eluru, AP, India.
Manuscript received on June 15, 2014. | Revised Manuscript received on June 19, 2014. | Manuscript published on June 25, 2014. | PP:1-4 | Volume-2 Issue-8, June 2014. | Retrieval Number: H0747062814/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. In this paper, the comparative analysis of various Image Edge Detection techniques has been presented. It has been shown that the canny edge detection algorithm performs better than all these algorithms under almost all scenarios. However, it has been observed that under noisy conditions Sobel algorithm detect edges more clearly when compared to Canny. It has been also observed that Canny edge detection algorithm is computationally more expensive compared to Sobel, Prewitt and Robert’s algorithms. Cancer is a disease characterized by uncontrolled growth of abnormal cells. Hence, it is necessary to detect the edges of cancer cells so that they can be easily subjected to radiation therapy without affecting the other blood cells. So, in this paper Sobel & Canny algorithms have been used to detect the boundaries of cancer cells. Sobel algorithm has detected the edges of cancer cells more clearly compared to Canny algorithm.
Keywords: Kernels, Gradient, Roberts, Sobel, Prewitt, Canny.