NDLI: Square Distance Symmetric Co-occurrence Matrix Thresholding Method Based on Relative Homogeneity

Content Provider	IET Digital Library
Author	Zhang, Hong N, Jiulun F A
Abstract	We studied a novel image thresholding method using symmetric co-occurrence matrix probability information, in which, the relative homogeneity characteristics of the segmented object and background is explored, square distance co-occurrence matrix thresholding criterion is reformed, and the relative criterion of square distance symmetric co-occurrence matrix is proposed. The new thresholding method applies the spatial information of image and takes the relative information between classes into account. The experimental results show that, comparing with the existing correlation methods, the proposed method can extract the object more integrity, and reserve the edge more clearly.
Starting Page	686
Ending Page	692
Page Count	7
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 4, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2020.05.015
Journal	Chinese Journal of Electronics
Publisher Date	2020-07-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Computer Vision And Image Processing Technique Correlation Method Edge Detection Feature Extraction Image Recognition Image Segmentation Image Thresholding Linear Algebra Matrix Algebra Numerical Analysis Probability Relative Homogeneity Characteristic Segmented Object Spatial Image Information Square Distance Symmetric Co-occurrence Matrix Thresholding Statistics Symmetric Co-occurrence Matrix Probability Information
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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