Kother Mohideen

  • Citations Per Year
Learn More
Breast cancer continues to be a significant public health problem in the world. The diagnosing mammography method is the most effective technology for early detection of the breast cancer. However, in some cases, it is difficult for radiologists to detect the typical diagnostic signs, such as masses and microcalcifications on the mammograms. Dense region in(More)
In this paper we deal with mixed noise reduction algorithm for Hyperspectral imagery (HSI). The hyperspectral data cube is considered as a three order tensor that is able to jointly treat both spatial and spectral modes. This entire denoising process is based on the K-SVD denoising algorithm. Our work involved in minimizing model to remove mixed noise such(More)
Breast cancer is the most leading cause of death in women nowadays. Screening mammography is currently the best available radiological technique for early detection of breast cancer. The detection of breast cancer is disturbed due to the existence of artifacts which reduce the rate of accuracy. For this reason, the pre-processing of mammogram images is very(More)
This paper proposes an approach for enhancement and de-noising of the images having fine edges and homogeneous smooth regions by using singular value decomposition filtering technique on the diffused image subspaces. The existing singular value decomposition based image de-noising technique faces the problem of selecting the optimum threshold parameter for(More)
The problem of detection and removal of noise in digital images is Vast. Many techniques have been used for removal of noise from the given set of images. In this paper, we present algorithm that can be used for removal of various type of noise for the given test images. Various classifiers have been proposed. We proposed PSNR with varying threshold as the(More)
  • 1