Browsing Haniza Yazid, Dr. by Author "haniza.yazid@gmail.com"

Now showing items 1-5 of 5

    • Automated identification of exudates and optic disc based on inverse surface thresholding 

      Haniza, Yazid; Hamzah, Arof, Dr.; Hazlita, Mohd Isa, Dr. (Springer Science+Business Media, LLC., 2012)
      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 ...

    • Discontinuities detection in welded joints based on inverse surface thresholding 

      Haniza, Yazid, Dr.; Hamzah, Arof, Dr.; Hafizal, Yazid; Sahrim, Ahmad; Abdul Aziz, Mohamed; Fauzan, Ahmad (Elsevier Ltd., 2011)
      Automated detection of welding defects in radiographic images becomes nontrivial when uneven illumination, contrast and noise are present. In this paper, a new approach using surface thresholding method is proposed to ...

    • Edge sharpening for diabetic retinopathy detection 

      Haniza, Yazid, Dr.; Hamzah, Arof; Norrima, Mokhtar (IEEE Conference Publications, 2010-06)
      People with diabetes may face eye problem as a complication of diabetes. These eye problems can cause vision loss and even blindness. There are several lesions that appear such microaneurysms, hemorrhages, cotton wool spots ...

    • Gradient based adaptive thresholding 

      Haniza, Yazid, Dr.; Hamzah, Arof, Dr. (Elsevier Ltd., 2013)
      For images with poor and non-uniform illumination, adaptive thresholding is required to separate the objects of interest from the background. In this paper a new approach to create an adaptive threshold surface is proposed ...

    • Image segmentation using watershed transformation for facial expression recognition 

      Haniza, Yazid, Dr.; Hamzah, Arof (Springer-Verlag, 2008)
      Facial expression recognition plays an important role in various applications. The most lenient way in expressing emotion is by facial expression. There are several facial features that are affected namely the eyes, eyebrows ...