Multiscale Intuitionistic Fuzzy Roughness Measure for Image Segmentation

被引：0

作者：

Nehare, Prajakta. R. ^{[1
]}

Dubey, Yogita. K. ^{[1
]}

Mushrif, Milind. M. ^{[1
]}

机构：

[1] YCCE, Dept Elect & Telecommun, Nagpur, Maharashtra, India

来源：

2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2014年

关键词：

A-IFS; Linear scale space; Multiscale; Roughset; Roughness;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a method for image segmentation using multiscale intuitionistic fuzzy roughness measure is proposed. The traditional roughness measure tends to over-focus on the little important homogeneous regions but is not accurate enough to measure the homogeneity in an image. By applying the theories of scale-space and using intuitionistic fuzzy representation for images, roughness is measured under multiple scales. Multiscale representation can tolerate the disturbance of trivial regions, and intuitionistic fuzzy representation deals with hesitancy in image boundary, therefore produces precise segmentation results.

引用

页数：5