Title :
A new approach for segmentation of image and text in natural and commercial color documents
Author :
Kundu, Malay Kumar ; Dhar, Sudipta ; Banerjee, M.
Author_Institution :
Machine Intell. Unit, Indian Stat. Inst., Kolkata, India
Abstract :
This paper presents an efficient method for segmenting text and non text parts of natural real life images and colored document images using M-band wavelet packet frames. Various combinations of band pass channels of M-band wavelet packet frames represent the image at different scale and orientations in the frequency planes of YCbCr components of color images. The scale space feature vector comprises of the local energy around each pixel at different scales and segmentation is achieved using fuzzy C-means clustering. No information regarding font size, scaling representation, type of layout etc. of the images are considered in our algorithm.
Keywords :
image colour analysis; image segmentation; text analysis; wavelet transforms; M-band wavelet packet frames; YNbCr; band pass channels; color images; commercial color documents; frequency planes; image segmentation; natural color documents; natural real life images; scale space feature vector; text segmentation; Decision support systems; Intelligent systems; Manganese; M-band packet wavelet; adaptive basis selection; color document segmentation; texture segmentation;
Conference_Titel :
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-4699-3
DOI :
10.1109/CODIS.2012.6422142
