Objective distortion measure for binary text image based on edge line segment similarity

被引：23

作者：

Cheng, Jun ^{[1
]}

Kot, Alex C. ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Workstn Resource Lab, Singapore 639798, Singapore

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2007年 / 16卷 / 06期

关键词：

binary text image; distortion measure;

D O I：

10.1109/TIP.2007.896619

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a new approach to measure the distortion introduced by changing individual edge pixels in binary text images. The approach considers not only how many pixels are changed but also where the pixels are changed and how the flipping affects the overall shape formed by the edge line. Similarities between the edge line segments in the original and distorted image are compared to measure the distortion. Subjective testing shows that the new distortion measure correlates well with human visual perception.

引用

页码：1691 / 1695

页数：5

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