An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Extraction and recognition of artificial text in multimedia documents
Pattern Analysis & Applications
Text segmentation based on stroke filter
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Text segmentation in complex background based on color and scale information of character strokes
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
A robust text segmentation approach in complex background based on multiple constraints
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
An algorithm for colour-based natural scene text segmentation
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
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In this paper, we present a hybrid text segmentation approach for embedded text in images, aiming to combining the advantages of the difference-based methods and the similarity-based methods together. First a new stroke edge filter is applied to obtain stroke edge map. Then a two-threshold method based on the improved Niblack thresholding technique is utilized to identify stroke edges. Those pixels between the edge pairs above the high threshold are collected to estimate the representative of stroke color, so that stroke pixels are further extracted by computing the color similarity. Finally some heuristic rules are devised to integrate stroke edge and stroke region information to obtain better segmentation results. The experimental results show that our approach can effectively segment text from background.