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Segmentation for Uneven Lighting Document Image

Author: ShenZuo
Tutor: GuGuoQing
School: East China Normal University
Course: System Analysis and Integration
Keywords: Text image Non - uniform illumination Image Segmentation Binarization Edge Detection Subpixel
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 129
Quote: 7
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Abstract


The segmentation is an important branch of the field of image processing . This problem seems simple , but to enhance the purpose of the segmented image quality is a very difficult task . In addition , due to the rapid development of digital technology , in natural light extremely convenient text images , so the non - uniform illumination text image segmentation technology becomes increasingly important . The purpose of this paper is to study the non - uniform illumination text image segmentation techniques . In this paper, the sub- window segmentation technology, several methods to remove the specter of polygons . And take advantage of the great inter-class variance as the information measure , the segmentation algorithm has been improved adaptive window . Qingming Huang algorithm , adaptive window algorithm proposed in this paper using the maximum class variance between the segmented image quality significantly improve the speed of operation. The sub-pixel technology is a useful concept in image processing . In this paper, the introduction of sub-pixel image binarization . Designed two simple algorithms to obtain sub- pixel . Sub-pixel image segmentation experimental results show that this method can greatly improve the quality of image segmentation . In addition, in the chain encoded generation algorithm , the calculation of the extreme points of the digital image , and the use of gradient operators of non - uniform illumination text image segmentation were also studied .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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