基于改进边缘检测算子的图像特征点提取算法

Abstract

Abstract:

SUSAN edge detecting operator is an edge detection algorithm based on comparison of the image gray.This article introduces the principle of the operator,and improves the gray Threshold.The initial value of threshold is calculated in every single SUSAN template.Final value of threshold is obtained using iterative segment,which makes it possible to pick up the right interesting point in all kinds of gray contrast.The results show that the algorithm has the advantages of simplicity,strong anti-noise,and small amount of calculation.

Key words: SUSAN operator;interestring point detection;iterative segment;self adaptive

CLC Number:

TP301.6

GUO Feng, WANG Dao-Ping, HAN Ming. Algorithm for Image Interestring Point Detection Based on Improved SUSAN Operator[J]., 2011, 24(9): 9-.

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Algorithm for Image Interestring Point Detection Based on Improved SUSAN Operator

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