Edge Detector Based on Wilcoxon Test in Noisy Images

• 발행기관: 한국자료분석학회
• 저자명: Dong Hoon Lim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.6 No.2, 441~452쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2004.04.30

영문 초록

We describe a new edge detector based on Wilcoxon test for detecting edges in noisy images. The idea is to test whether a n×n window is divided into two subregions having significant differences in gray levels, using an edge-height model which is appropriate for detecting edges of some sufficient height in noisy images. Some experimental results of three statistical edge detectors based on the median test, T test and likelihood ratio test with our Wilcoxon detector on sample images both with and without additive noise are given and performances of these detectors are compared in terms of the well-known quantitative measure.

목차

1. Introduction

2. Statistical Edge Detectors

3. A New Edge Detector Based on Wilcoxon Test

4. Experimental Results

5. Conclusions

References

키워드

Wilcoxon detector Noisy images Median detector T detector Likelihood ratio detector Pratt s figure of merit