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基于HMAX模型和非经典感受野抑制的轮廓提取
引用本文: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(1): 128-133
作者姓名:赵宏伟  崔弘睿  戴金波  臧雪柏
作者单位:1. 吉林大学计算机科学与技术学院,长春130012/吉林大学符号计算与知识工程教育部重点实验室,长春130012
2. 吉林大学计算机科学与技术学院,长春,130012
3. 吉林大学计算机科学与技术学院,长春130012/长春师范学院计算机科学与技术学院,长春130032
基金项目:国家自然科学基金项目,吉林省科技发展计划项目,吉林省教育厅"十一五"科学技术研究项目
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

Contour detection based on HMAX model and non-classical receptive field inhibition
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]. Journal of Jilin University:Eng and Technol Ed, 2012, 42(1): 128-133
Authors:ZHAO Hong-wei  CUI Hong-rui  DAI Jin-bo  ZANG Xue-bai
Affiliation:1(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)
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.
Keywords:computer applications  contour detection  non-classical receptive field  inhibition  hierarchical model and X(HMAX) model
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