Khan K. A.

Work place: Kashmir University, Associate Professor at S. P. College



Research Interests: Image Compression, Image Manipulation, Image Processing, Cellular Automata, Quantum Computing Theory


Dr. Khan K.A. received the Bachelor and Master degree from Kashmir University. In 2005, he received the PhD degree from Department of Computer Science, Kashmir University. In 2003 and 2004, he went to IIT Kharagpur respectively as a visiting scholar. These days, he is working as Asst. professor and Head at P. G. Department of Physics, S. P. College Srinagar. His research interests include cellular automata, Quantum Dots and Image Processing.

Author Articles
Investigations of Cellular Automata Linear Rules for Edge Detection

By Fasel Qadir Khan K. A.

DOI:, Pub. Date: 8 Apr. 2012

Edge detection of images is one of the basic and most significant operations in image processing and is used for object background separation, 3-D interpretation of a 2-D image, and pre-processing in image understanding and recognition algorithms. In this paper we investigate cellular automata linear rules for edge detection and based on this investigation we have classified the rules into no edge detection rules, strong edge detection rules and weak edge detection rules. Finally, we show the comparative analysis of the proposed technique with already defined techniques for edge detection and the results show desirable performance.

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Investigations of Cellular Automata Game of Life Rules for Noise Filtering and Edge Detection

By Peer M. A. Fasel Qadir Khan K. A.

DOI:, Pub. Date: 8 Apr. 2012

In digital image processing, edge detection of images is an important and difficult task. Also, if the images are corrupted by noise, it smears some details and thus resulting in inaccurate edge detection. Hence, a pre-processing step must be taken before the edge detection. In this paper a new approach for edge detection with noise filtering of digital images using Cellular Automata Game of Life is presented. This procedure can easily be generalized and used for any type of digital media. To illustrate the proposed method, some experiments have been performed on standard test images and compared with popular methods. The results reveal that the proposed method has relatively desirable performance.

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Other Articles