A Morphological Color Image Contrast Enhancement Technique Using Hilbert 3D Space Filling Curve

被引：3
|
作者：
Sinha, Rajesh Kumar [1 ]
Subudhi, Priyambada [1 ]
Mukhopadhyay, Susanta [1 ]
机构：
[1] Indian Sch Mines, Indian Inst Technol, Dhanbad, Bihar, India
来源：
ADVANCED COMPUTATIONAL AND COMMUNICATION PARADIGMS, VOL 2 | 2018年 / 706卷
关键词：
Color image morphology; Contrast enhancement; Hilbert curves; Multivalued morphology; Space filling curves;
D O I：
10.1007/978-981-10-8237-5_44
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 presents a method based on mathematical morphology for enhancing the contrast of a color image using total ordering with Hilbert space filling curves. The method defines a total ordering of three-dimensional (3D) space (RGB space) using Hilbert 3D space filling curve and then applies morphological operators on the color image to obtain the contrast enhanced image. The output obtained through the above method has been compared with the outputs obtained through marginal morphology and vector morphology based on a distance measure. Experimental results show the efficiency of the proposed method in terms of enhanced contrast and better time complexity.
引用
收藏
页码：453 / 463
页数：11
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