CLASSIFICATION OF OSTEOPOROSIS BASED ON TEXTURE FEATURES

P Prabakaran, G Manikannan, T Vijayalakshmi
2019 International Journal of Engineering Applied Sciences and Technology  
There was substantial challenge in assessment of osteoporotic disease from the radiograph image. Texture characteristics are visually very analogous when witnessed from the naked eye for the bone micro-architecture of the osteoporotic and healthy cases which will be a challenging grouping problem. An approach that is based on a combination of multi resolution Gabor filters and 1D local binary pattern (1DLBP) features is proposed to extract the discriminative patterns in all the orientations and
more » ... scales simultaneously. Gabor filter are used due to their advantages in yielding a scale and orientation sensitive analysis whereas LBPs are useful for quantifying microstructural changes in the images. The proposed method shows good classification results with an overall accuracy of about 72.71%.
doi:10.33564/ijeast.2019.v04i08.036 fatcat:a2pr6loxl5g5dhyfwhwdohljlu