Joint Contours, Corner and T-Junction Detection: An Approach Inspired by the Mammal Visual System

被引：7

作者：

Buades, Antonio ^{[1
]}

von Gioi, Rafael Grompone ^{[2
]}

Navarro, Julia ^{[1
]}

机构：

[1] Univ Illes Balears, Ctra Valldemossa Km 7-5, Palma De Mallorca, Spain

[2] ENS Cachan, CMLA, Ave President Wilson, Cachan, France

来源：

JOURNAL OF MATHEMATICAL IMAGING AND VISION | 2018年 / 60卷 / 03期

关键词：

Contour detection; Line segment detection; Visual system; A-contrario validation; RECEPTIVE FIELDS; EDGE-DETECTION; CONNECTIONS; DESIGN;

D O I：

10.1007/s10851-017-0763-z

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a new algorithm that allows the detection of line segments, contours, corners and T-junctions. The proposed model is inspired by the mammal visual system. The detection of corners and T-junctions plays a role as part of the process in contour detection. This method unifies tasks that have been traditionally worked apart. An a-contrario validation is applied to select the most meaningful contours without the need of fixing any critical parameter.

引用

页码：341 / 354

页数：14

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