Satyabrata Sahu

Work place: Department of Information Technology, College of Engineering & Technology Bhubaneswar, Odisha, India



Research Interests: Image Processing, Image Manipulation, Image Compression, Computational Mathematics


Satyabrata Sahu is presently continuing as M-Tech Student in College of Engineering & Technology, Bhubaneswar. He received his Master degree from Biju Pattniak University. His research interest is in Digital Signal Processing, Digital Image Processing, Computational Intelligence.

Author Articles
Digital Image Texture Classification and Detection Using Radon Transform

By Satyabrata Sahu Santosh Kumar Nanda Tanushree Mohapatra

DOI:, Pub. Date: 8 Oct. 2013

A novel and different approach for detecting texture orientation by computer was presented in this research work. Many complex real time problem example detection of size and shape of cancer cell, classification of brain image signal, classification of broken bone structure, detection and classification of remote sensing images, identification of foreign particle in universe, detection of material failure in construction design, detection and classification of textures in particularly fabrications etc where edge detection and both vertical and horizontal line detection are essential. Thus researches need to develop different algorithm for this above complex problem. It is seen from literature that conventional algorithm DCT, FFT are all highly computational load and hence impossible task to implemented in hardware. These difficulties were solved in this particular research work by applying DWT and radon transform. It was seen from the simulation result that with very high computational load the entire algorithm takes very less CPU time and proved its robustness.

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