Information Density Based Image Binarization for Text Document Containing Graphics
Soma Datta,Nabendu Chaki,Sankhayan Choudhury +2 more
- pp 105-115
TLDR
Experimental results indicate that this method is particularly good for degraded text document containing graphic images as well, compared with iterative partitioning, Otsu’s method for seven different metrics.Abstract:
In this work, a new clustering based binarization technique has been proposed. Clustering is done depending on the information density of the input image. Here input image is considered as a set of text, images as foreground and some random noises, marks of ink, spots of oil, etc. in the background. It is often quite difficult to separate the foreground from the background based on existing binarization technique. The existing methods offer good result if the input image contains only text. Experimental results indicate that this method is particularly good for degraded text document containing graphic images as well. USC-SIPI database is used for testing phase. It is compared with iterative partitioning, Otsu’s method for seven different metrics.read more
Citations
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Book ChapterDOI
Minimizing Aliasing Effects Using Faster Super Resolution Technique on Text Images
TL;DR: A resolution enhancement technique is proposed to reduce the aliasing effects from the text documented image with a reduced amount of computational time and provides better resolution at most informative regions.
References
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Journal ArticleDOI
Automatic thresholding of gray-level pictures using two-dimensional entropy
TL;DR: The entropy-based thresholding algorithm is extended to the 2-dimensional histogram and it was found that the proposed approach performs better specially when the signal to noise ratio (SNR) is decreased.
Proceedings ArticleDOI
Binarization of historical document images using the local maximum and minimum
Bolan Su,Shijian Lu,Chew Lim Tan +2 more
TL;DR: A new document image binarization technique that segments the text from badly degraded historical document images by using local thresholds that are estimated from the detected high contrast pixels within a local neighborhood window.
Journal ArticleDOI
An improved ant colony algorithm for fuzzy clustering in image segmentation
Yanfang Han,Pengfei Shi +1 more
TL;DR: Improvements have been made by initializing the clustering centers and enhancing the heuristic function to accelerate the searching process and show that the improved ACA-based image segmentation is an efficient and effective approach.
Proceedings ArticleDOI
A new method for image segmentation
TL;DR: A method is presented for finding a threshold surface which involves the ideas used in other methods but attempts to overcome some of their disadvantages, and the latter is shown to give better results, matching human performance quite well.