Noise Removal and Enhancement of Binary Images Using Morphological Operations

被引：0
|
作者：
Jamil, Nursuriati [1 ]
Sembok, Tengku Mohd Tengku [2 ]
Abu Bakar, Zainab [1 ]
机构：
[1] Univ Teknol MARA, Fac Informat Technol & Quantitat Sci, Shah Alam 40450, Selangor, Malaysia
[2] Univ Pertahanan, Kuala Lumpur, Malaysia
来源：
INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Mathematical morphological operations are commonly used as a tool in image processing for extracting image components that are useful in the representation and description of region shape. In this paper, six basic morphological operations are investigated to remove noise and enhance the appearance of binary images. Dilation, erosion, opening, closing, fill and majority operations are tested on twenty-five images and subjectively evaluated based on perceived quality of the enhanced images. Results of the experiments showed that noise can be effectively removed from binary images using combinations of erode-dilate operations. Also, the binary images are significantly enhanced using combinations of majority-close operations.
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页码：2838 / +
页数：3
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