Now showing items 1-4 of 4

    • Color image denoising and contrast enhancement in contourlet domain 

      Melkamu, H. Asmare; Vijanth, S. Asirvadam; Lila Iznita (Universiti Malaysia Perlis, 2009-10-11)
      A degraded image mainly has dark shadows, over bright regions and blurred details. These images are usually affected by noise. This paper proposes a method which tries to avoid this problems. Image denoised image is further ...
    • Exudates segmentation using inverse surface adaptive thresholding 

      Haniza, Yazid; Hamzah, Arof, Dr.; Hazlita, Mohd Isa, Dr. (Elsevier B.V., 2012-07)
      This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu ...
    • Image segmentation using adaptive thresholding 

      Noor Izzaty, Nor Hisham (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-05)
      The aim of image segmentation of image processing is the segment of the image in homogeneous locales. In this paper, it will be perform an analysis for image segmentation in view of adaptive thresholding which is proposed ...
    • Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation. 

      Mohammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar (Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)
      Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust ...