Abstract:

This paper aimed at segmentation of natural images, in which the color and texture of each segment does not typically exhibit uniform statistical characteristics due to effect of lighting, perspective, scale changes, etc. Although significant progress has been made in texture segmentation and color segmentation separately, the area of combined color and texture segmentation remains open and active. The proposed approach is based on two types of spatially adaptive low-level features. The first describes a spatially adaptive dominant color, obtained using Adaptive Clustering Algorithm (ACA), and second is the spatial characteristic of the grayscale component of the texture, obtained from the detail coefficient of Complex Wavelet Decomposition (CWD). Together, they provide a simple and effective characterization of texture that the proposed algorithm uses to obtain robust and, at the same time, accurate and precise segmentations. Initially, image pixels are classified into smooth and non-smooth or texture pixels. The smooth pixels are segmented using the morphological watershed algorithm. The non-smooth pixels are segmented by two steps. First step is the crude segmentation by Multi-grid Region Growing algorithm and the second step is the iterative edge refinement. The resulting segmentations convey semantic information that can be used for content-based retrieval. The performance of the proposed algorithms is numerically evaluated, compared with other algorithms and found to be the best.

Keywords:  Texture image segmentation, complex wavelet, texture, watershed, region growing.

(Full Paper 1 MB)

Biographies:

S. KOTHAINACHIAR, Senior Lecturer, Department of ECE, Government  College of Technology,  Coimbatore  has  to her credit 20 technical papers published in various International Conferences and National Conferences. She has served the department of Directorate of Technical Education for 17 years. Life Member of Indian Society of Technical Education. Her main research interest includes Segmentation, perceptually based Semantic approaches to image analysis and retrieval.

R.S.D.WAHIDABANU, Professor & Head, Department of ECE, Government College of Engineering, Salem-636 011 has to her credit 100 technical papers published in various International Journals and National Journals. She has authored a book on Object Oriented Programming.  She has served the department of Directorate of Technical Education for 25 years and produced numerous Electronics and Communication graduates, many M.E. scholars and few M.Phil. scholars. Supervising a lot of Ph.D. programmes and organized not less than 25 conferences. Life Member of Indian Society of Technical Education (33863), Computer Society of India (000811655) as well executive member of Local chapter of Institute of Engineers. Also an active member of Salem Local Chapter (123649-5), Systems Society of India LM 27057 and VDAT Member during 2003-2005 (1049). Recently taken up charges as Chairman, CSI, India Local Chapter (Salem). Also Member of the Board of Studies in Electronics and Communication Engineering and Electronics and Instrumentation Engineering Branches, Government College of Technology (Autonomous), Coimbatore.She is a Governing council member of two Engineering colleges in Tamilnadu. Has lot of interest in upliftment of Women and Presided the ‘Muslim Women Meet’ giving awareness to 1000 women at July 2006.

BibTex:

@ARTICLE{P1150732007,

AUTHOR = {S. Kothainachiar and R.S.D. Wahita Banu},

TITLE = {A Novel Image Segmentation based on a Combination of Colour and Texture Features},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},

YEAR = {2007},

VOLUME = {07},

ISSUE ={II},

PAGES={45--51}

}

(Full Paper 1 MB)