Digital Image Texture Classification and Detection Using Radon Transform

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Satyabrata Sahu 1,* Santosh Kumar Nanda 2 Tanushree Mohapatra 3

1. Department of Information Technology, College of Engineering & Technology Bhubaneswar, Odisha, India

2. Centre of Research, Development and Consultancy, Eastern Academy of Science and Technology, Bhubaneswar, Odisha, India, 754001

3. Department of Computer science & Engineering, Gandhi Institute for Education & Technology, Bhubaneswar, Odisha, India

* Corresponding author.


Received: 21 Jun. 2013 / Revised: 1 Aug. 2013 / Accepted: 29 Aug. 2013 / Published: 8 Oct. 2013

Index Terms

Edge detection, Fast Fourier Transform, Discrete Wavelet Transform, Radon Transform


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.

Cite This Paper

Satyabrata Sahu, Santosh Kumar Nanda, Tanushree Mohapatra,"Digital Image Texture Classification and Detection Using Radon Transform", IJIGSP, vol.5, no.12, pp.38-48, 2013. DOI: 10.5815/ijigsp.2013.12.06


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