Zahrah Yahya

Work place: Faculty of Computing and Technological Science, Kolej Universiti Poly-Tech MARA, Kuala Lumpur, Malaysia



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Computer Graphics and Visualization, Solid Modeling, Image Processing


Zahrah Yahya, Ph D. obtained her Bsc in Information Technology and Msc IT from Universiti Utara Malaysia in 2003 and 2007 respectively. She received her PhD in Computer Science from Universiti Putra Malaysia. She is currently a senior lecturer in Kolej Universiti Poly-Tech MARA. Her research interests are image processing, 3D modeling and computer vision.

Author Articles
A Concave Hull Based Algorithm for Object Shape Reconstruction

By Zahrah Yahya Rahmita W Rahmat Fatimah Khalid Amir Rizaan Ahmad Rizal

DOI:, Pub. Date: 8 Mar. 2017

Hull algorithms are the most efficient and closest methods to be redesigned for connecting vertices for geometric shape reconstruction. The vertices are the input points representing the original object shape. Our objective is to reconstruct the shape and edges but with no information on any pattern, it is challenging to reconstruct the lines to resemble the original shape. By comparing our results to recent concave hull based algorithms, two performance measures were conducted to evaluate the accuracy and time complexity of the proposed method. Besides achieving the most acceptable accuracy which is 100%, the time complexity of the proposed algorithm is evaluated to be O(wn). All results have shown a competitive and more effective algorithm compared to the most efficient similar ones. The algorithm is shown to be able to solve the problems of vertices connection in an efficient way by devising a new approach.

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