This page provides access to research works by Dr. Haniza Yazid, currently a Senior Lecturer of School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP).

News

Skills and Expertise:Feature Extraction and Image Segmentation

Recent Submissions

  • Background correction using average filtering and gradient based thresholding 

    Wan Azani, Mustafa; Haniza, Yazid (Universiti Teknikal Malaysia Melaka, 2016)
    Segmentation process on the image with illumination and contrast variation problem is a very challenging task. This problem can reduce the effectiveness of segmentation result. Therefore, the implementation of the proposed ...
  • Illumination and contrast correction strategy using bilateral filtering and binarization comparison 

    Wan Azani, Mustafa; Haniza, Yazid (Universiti Teknikal Malaysia Melaka, 2016)
    Illumination normalization and contrast variation on images areone of themost challenging tasks in the imageprocessing field. Normally, the degrade contrast imagesarecaused by pose, occlusion, illumination,and ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Automated thresholding in radiographic image for welded joints 

    Haniza, Yazid; Hamzah, Arof, Dr.; Hafizal, Yazid (Taylor & Francis, 2012)
    Automated detection of welding defects in radiographic images becomes non-trivial when uneven illumination, contrast and noise are present. In this paper, a new surface thresholding method is introduced to detect defects ...
  • 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 ...
  • 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 ...
  • Object detection using circular hough transform 

    Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Masanori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (Science Publications, 2005)
    In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ...
  • Object detection using geometric invariant moment 

    Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Mohd Rozailan, Mamat; Sazali, Yaacob, Prof. Dr.; Hazri, Desa, Dr.; Karthigayan, M. (Science Publications, 2006)
    Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its ...
  • Preparation of SiC-based composites by cold isostatic press 

    Harun, M. B.; Halim, M. H.; Yazid, H.; Selamat, Z.; Sattar, M. S.; Jali, M. (American Institute of Physics, 2010-03-11)
    The effect of polyvinyl alcohol binder on green strength of isostatic pressed silicon carbide was studied. A lab-top spray dryer was used to coat mixed powders with the binder. The resultant powders were pressed in a steel ...
  • Detection of coconuts location using separability filter and Hough Transform 

    Haniza, Yazid; Mohamed Rizon, Mohamed Juhari; Sugisaka, Masanori; Puteh, Saad; Ali Yeon, Md Shakaff; Abdul Rahman, Mohd. Saad (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
    In this paper, we develop a technique to determine coconuts location using separability filter and Hough transform method. Our research involves two sequential steps for solving the coconuts detection and recognition. The ...
  • Multiple objects detection using Separability Filter and Circular Hough Transform 

    Haniza, Yazid; Mohamed Rizon, Mohamed Juhari; Puteh, Saad; Ali Yeon, Md Shakaff; Sazali, Yaacob; Abdul Rahman, Mohd. Saad; Sugisaka, Masanori (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
    In this paper we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi to obtain the best object candidates and second, the ...
  • A comparison of circular object detection using Hough transform and chord intersection 

    Mohamed Rizon, Mohamed Juhari; Haniza, Yazid; Puteh, Saad (Institute of Eelectrical and Electronics Engineering (IEEE), 2007-07)
    In this paper, the circular Hough transform (CHT) and the chord intersection have been used to find the circular object in the feature extraction process. The chord intersection technique does not require any gradient ...
  • Circular discontinuities detection in welded joints using Circular Hough Transform 

    Hafizal, Yazid; Haniza, Yazid; Mohd Harun; Shukri Mohd; A. Aziz, Mohamed; Mohamed Rizon, Mohamed Juhari; Shaharudin, Sayutia (Elsevier B.V., 2007)
    Conventional radiography is one of the common non-destructive testing which employs manual image interpretation. The interpretation is very subjective and depends much on the inspector experience and working conditions. ...
  • Various Recognition approach in human faces 

    Karthigayan, M.; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob; Nagarajan, R.; Puteh, Saad; Muhammed Firdaus, Hashim; Haniza, Yazid (Universiti Teknologi Petronas (UTP), 2005-12-01)
    In this paper, we review researches on human faces from aspect offace recognition and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine ...