Image Enhancement Using Morphological Operations: A Case Study

被引：1
|
作者：
Manhas, Pratima [1 ]
Arora, Parveen [2 ]
Thakral, Shaveta [1 ]
机构：
[1] Manav Rachna Int Inst Res & Studies, FET, ECE Dept, Faridabad, India
[2] NEC Technol India Pvt Ltd, Chennai, Tamil Nadu, India
来源：
COMPUTING AND NETWORK SUSTAINABILITY | 2019年 / 75卷
关键词：
Pixel; Morphology; Erosion; Dilation; Transformation;
D O I：
10.1007/978-981-13-7150-9_2
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Morphology consists of two words: morph+ology. Morph means transformation, and ology means a branch of study. Image transformation may take place due to various factors. One of such factors is noise. Hence, morphology is considered to be an image transformation technique which is used to remove imperfections in an image caused by noise. Morphology finds its application in the representation of shape of a region, describing skeletons, surface deviation analysis, and other surface metrological applications. Morphological operations are performed using erosion and dilation algorithms, and the results are verified using MATLAB R2013a.
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页数：8
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