Digital Image Texture Classification and Detection Using Radon Transform

Satyabrata Sahu, Santosh Kumar Nanda, Tanushree Mohapatra
2013 International Journal of Image Graphics and Signal Processing  
A novel and different approach for detecting texture orientation by computer was presented in this research work. Many comp lex real t ime problem example detection of size and shape of cancer cell, classification of brain image signal, classificat ion 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
more » ... tions etc where edge detection and both vertical and horizontal line detection are essential. Thus researches need to develop different algorith m for this above complex problem. It is seen from literature that conventional algorith m DCT, FFT are all h ighly computational load and hence impossible task to implemented in hardware. These difficult ies were solved in this particular research work by applying DWT and radon transform. It was seen fro m the simu lation result that with very high computational load the entire algorith m takes very less CPU t ime and proved its robustness.
doi:10.5815/ijigsp.2013.12.06 fatcat:ibd4736ierci3bkyhdfoz4vflu