基于HMAX模型和非经典感受野抑制的轮廓提取

吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 128-133.

基于HMAX模型和非经典感受野抑制的轮廓提取

赵宏伟^1,2, 崔弘睿¹, 戴金波^1,3, 臧雪柏¹

1. 吉林大学计算机科学与技术学院,长春 130012;
2. 吉林大学符号计算与知识工程教育部重点实验室,长春 130012;
3. 长春师范学院计算机科学与技术学院,长春130032

收稿日期:2010-09-12 出版日期:2012-01-01 发布日期:2012-01-01
通讯作者: 臧雪柏(1963-),女,研究员,博士.研究方向:智能信息系统与智能数据库. E-mail:xbzang@yahoo.com.cn E-mail:xbzang@yahoo.com.cn
作者简介:赵宏伟(1962-),男,教授,博士,博士生导师.研究方向:智能信息系统与嵌入式技术. E-mail:zhaohw@jlu.edu.cn
基金资助:
国家自然科学基金项目(61101155);吉林省科技发展计划项目(20101504);吉林省教育厅"十一五"科学技术研究项目(2009604).

Contour detection based on HMAX model and non-classical receptive field inhibition

ZHAO Hong-wei^1,2, CUI Hong-rui¹, DAI Jin-bo^1,3, ZANG Xue-bai¹

1. College of Computer Science and Technology, Jilin University,Changchun 130012,China;
2. Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education, Jilin University, Changchun 130012,China;
3. Department of Computer Science and Technology,Changchun Normal University,Changchun 130032,China

Received:2010-09-12 Online:2012-01-01 Published:2012-01-01

摘要/Abstract

摘要：

针对图像里处于复杂纹理背景中物体的轮廓提取正确率低的问题,首先研究了基于非经典感受野抑制的轮廓提取算法和HMAX模型,然后利用HMAX模型所具备的具有基本视皮层功能结构的优点,弥补了前者所依据的生物学视觉结构比较简单的不足,最后提出并实现了基于HMAX模型和非经典感受野抑制的轮廓提取算法。通过与Canny算子和非经典感受野抑制的轮廓提取算法的评估比较,表明本文算法有效提高了轮廓提取的正确率。

关键词: 计算机应用, 轮廓提取, 非经典感受野, 抑制, HMAX模型

Abstract:

To solve the problem of low accuracy of contour detection of objects with complex texture background in the image,the existing contour detection algorithm based on non-classical receptive field inhibition and hierarchical model and X(HMAX) model was studied firstly. Then an improved contour detection algorithm based on HMAX model and non-classical receptive field inhibition was proposed and implemented. The HMAX model possesses the advantage of basic visual cortex functional structure. This compensates the oversimple shortcoming of biological visual structure, which the non-classical receptive inhibition contour detection algorithm is based on. The performance of the proposed algorithm is compared with Canny operators and non-classical receptive field inhibition contour detection algorithm. Results show that the improved algorithm can effectively increase the accuracy of contour detection.

Key words: computer applications, contour detection, non-classical receptive field, inhibition, hierarchical model and X(HMAX) model

中图分类号:

TP391

赵宏伟, 崔弘睿, 戴金波, 臧雪柏. 基于HMAX模型和非经典感受野抑制的轮廓提取[J]. 吉林大学学报(工学版), 2012, 42(01): 128-133.

ZHAO Hong-wei, CUI Hong-rui, DAI Jin-bo, ZANG Xue-bai. Contour detection based on HMAX model and non-classical receptive field inhibition[J]. 吉林大学学报(工学版), 2012, 42(01): 128-133.

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