Browsing Haniza Yazid, Dr. by Subject "Object detection"

Now showing items 1-4 of 4

    • 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 ...

    • 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 ...

    • 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 ...