基于复合感受野的轮廓检测算法

杜晓凤; 李翠华; 李晶

doi:10.3724/SP.J.1146.2008.01164

基于复合感受野的轮廓检测算法

doi: 10.3724/SP.J.1146.2008.01164

杜晓凤^{①;李翠华},
李翠华,
李晶

基金项目:

国家973计划项目(2007CB311005)，国家863计划项目(2006AA01Z129)，福建省自然科学基金(A0710020)和厦门大学985二期信息创新平台项目资助课题

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出版历程
- 收稿日期: 2008-09-16
- 修回日期: 2009-03-12
- 刊出日期: 2009-07-19

Contour Detection Based on Compound Receptive Field

Du Xiao-feng^{①;李翠华},
Li Cui-hua,
Li Jing

摘要

摘要: 自然场景自动检测目标轮廓是非常困难的。该文提出了一种基于复合感受野的图像轮廓检测仿生模型。在传统的基于抑制模型的基础上引入去抑制机制，在减少背景纹理干扰的同时，保护较弱的轮廓，从而尽量保持轮廓的完整性。实验结果表明，这种仿生模型可以有效地抑制纹理边缘，减少对轮廓的破坏，提高了自然背景中轮廓检测的性能。
- 目标识别;轮廓检测;初级视皮层;复合感受野
Abstract: Contour detection from natural scenes is a tough task in computer vision. This paper proposes a visual model of contour detection based on compound receptive field. By inducing dis-inhibition mechanism to traditional model that was based on inhibition mechanism, inferences are suppressed while weak edges are preserved, so that the integrity of contour is improved. Experiment results show that this approach can suppress edges due to texture, protect object contour and improve the performance of contour detection from nature scene.

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参考文献(1)

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