Now showing items 1-6 of 6

    • An automated cervical pre-cancerous diagnostic system 

      Nor Ashidi, Mat-Isa; Mohd Yusoff Mashor; Nor Hayati, Othman (Elsevier B.V., 2008-01)
      Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ...
    • Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network 

      Nor Ashidi, Mat Isa; Esugasini, Subramaniam; Mohd Yusoff, Mashor; Nor Hayati, Othman (Science Publications, 2007)
      Thirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus ...
    • Identification algorithms of flexible structure using neural networks 

      Ismail, Razali; Ismail, A.Y; Mat Darus, I.Z. (Institute of Electrical and Electronics Engineering (IEEE), 2006)
      This paper present an investigation into the development of identification system approaches for dynamic modelling characterization of a two dimensional flexible plate structures. The least square and recursive least square ...
    • Segmentation and location computation of bin objects 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Ars International, 2007)
      In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ...
    • Stereo vision system for a bin picking adept robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Universiti Malaya, 2007)
      In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is ...
    • A survey on face emotion recognition and applications 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Ramachandran, Nagarajan (Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE), 2007)
      This paper presents a decade long research efforts of recognizing human emotion conveyed through facial expressions (face emotion). Face emotion recognition starts from processing still and video camera images and identifying ...