Principal Objects Detection Using Graph-Based Segmentation and Normalized Histogram
In this paper, we introduce a new method to distinguish the principal objects in image datasets using graph-based segmentation and normalized histogram (PODSH). Unlike the usual object detection systems which require the input objects, we propose a new approach to recognize objects one might focus on when taking images. Motivated by the habit of taking picture, we suppose that the position of a main object is located near the image centre and this object always holds a large area. The normalized histogram is added to increase the effect of our system. In the experiment, we used images which consist of objects to test the precision of PODSH. Our system is implemented by Matlab.
Keywords: objects detection, graph-based segmentation, normalized histogram, principal objects
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ABOUT THE AUTHORS
Pham The Bao
Pham The Bao has obtained his Master degree and PhD in Computer Science at University of Science, Ho Chi Minh City, Vietnam. He is currently a Vice-Dean in Faculty of Computer Science and Head of Computer Science Department at University of Science Ho Chi Minh City, Vietnam. His interested research field includes computer vision, image process, parallel computing, soft computing and recognition.
Bui Ngoc Nam
Bui Ngoc Nam holds MSc degree in Computer Science from the University of Nottingham in 2011. He received the BSc degree in Department of Computer Science from University of Science, Ho Chi Minh City, Vietnam in 2009. He is currently a lecturer in Faculty of Computer Science of University of Science Ho Chi Minh City, Vietnam. His research interest includes computer vision, image processing and parallel computing.
Pham The Bao
Pham The Bao has obtained his Master degree and PhD in Computer Science at University of Science, Ho Chi Minh City, Vietnam. He is currently a Vice-Dean in Faculty of Computer Science and Head of Computer Science Department at University of Science Ho Chi Minh City, Vietnam. His interested research field includes computer vision, image process, parallel computing, soft computing and recognition.
Bui Ngoc Nam
Bui Ngoc Nam holds MSc degree in Computer Science from the University of Nottingham in 2011. He received the BSc degree in Department of Computer Science from University of Science, Ho Chi Minh City, Vietnam in 2009. He is currently a lecturer in Faculty of Computer Science of University of Science Ho Chi Minh City, Vietnam. His research interest includes computer vision, image processing and parallel computing.
