Overlap Wavelet Transform for Image Segmentation
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2014, Vol 4, Issue 3
Abstract
A new color image segmentation approach based on OWT is presented in this work. OWT extracts wavelet features which give a good separation of different patterns. Moreover the proposed algorithm uses morphological operators for effective segmentation. From the qualitative and quantitative results, it is concluded that our proposed method has improved segmentation quality and it is reliable, fast and can be used with reduced computational complexity than direct applications of Histogram Clustering. The main advantage of this method is the use of single parameter and also very faster. While comparing with five color spaces, segmentation scheme produces results noticeably better in RGB color space compared to all other color spaces.
Authors and Affiliations
A. S. Senthilkani| Assistant Professor, Department of ECE Francis Xavier Engineering College Tirunelveli, Tamil Nadu, India, Christo Ananth| Assistant Professor, Department of ECE Francis Xavier Engineering College Tirunelveli, Tamil Nadu, India, Praghash. k| PG Scholar, Department of Communication System Francis Xavier Engineering College Tirunelveli, Tamil Nadu, India, Chakka Raja. M. | PG Scholar, Department of Communication System Francis Xavier Engineering College Tirunelveli, Tamil Nadu, India, Jerrin John| PG Scholar, Department of VLSI Francis Xavier Engineering College Tirunelveli, Tamil Nadu, India, I. Annadurai| PG Scholar, Department of VLSI Francis Xavier Engineering College Tirunelveli, Tamil Nadu, India
Keywords
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