AN EFFICIENT APPROACH TO ESTIMATE FRACTAL DIMENSION OF TEXTURAL IMAGES

被引：284

作者：

SARKAR, N

CHAUDHURI, BB

机构：

[1] INDIAN STAT INST, ELECTR & COMMUN SCI UNIT, Kolkata 700035, W BENGAL, INDIA

[2] INDIAN STAT INST, DIV PHYS & EARTH SCI, Kolkata 700035, W BENGAL, INDIA

来源：

PATTERN RECOGNITION | 1992年 / 25卷 / 09期

关键词：

FRACTAL DIMENSION; TEXTURE ANALYSIS; IMAGE SEGMENTATION; COMPUTER VISION; IMAGE ROUGHNESS MEASURE;

D O I：

10.1016/0031-3203(92)90066-R

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fractal dimension is an interesting parameter to characterize roughness in an image. It can be used in texture segmentation, estimation of three-dimensional (3D) shape and other information. A new method is proposed to estimate fractal dimension in a two-dimensional (2D) image which can readily be extended to a 3D image as well. The method has been compared with other existing methods to show that our method is both efficient and accurate.

引用

页码：1035 / 1041

页数：7

共 14 条

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Brodatz P., 1966, TEXTURES PHOTOGRAPHI

[2]

CREUTZBERG R, 1989, 3 P INT C COMP AN IM, P110

[3]

GANGEPAIN JJ, 1986, WEAR, V109, P119

[4]

KAYE BH, 1986, AM LAB, V18, P55