DocumentCode :
469247
Title :
Segmentation of Text from Compound Images
Author :
Krishnan, Nikhil ; Babu, C.N.K. ; Ravi, Siddarth ; Thavamani, J.
Author_Institution :
M.S.Univ., Tirunelveli
Volume :
3
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
526
Lastpage :
528
Abstract :
In this paper, a method for the segmentation of the text regions from compound images is proposed. The Haar discrete wavelet transform (DWT) is employed. The resulted detail component sub bands contain both text edges and non-text edges. The Sobel edge detector is applied on each sub image to extract the strong edges. The resultant edges are used to form an edge map using a weighted OR operator. The edge map is binarized using a threshold. A morphological dilation operation is performed on the processed edge map. The projection profiles are analyzed to localize the text regions. Finally a threshold is applied which results in the segmentation of the real text regions from the image.
Keywords :
discrete wavelet transforms; edge detection; image segmentation; DWT; Haar discrete wavelet transform; Sobel edge detector; compound images; edge map; morphological dilation operation; text segmentation; weighted OR operator; Color; Data preprocessing; Detectors; Discrete wavelet transforms; Filters; Head; Image edge detection; Image segmentation; Lighting; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.378
Filename :
4426423
Link To Document :
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