Computer Science ›› 2016, Vol. 43 ›› Issue (7): 319-323.doi: 10.11896/j.issn.1002-137X.2016.07.059

Previous Articles     Next Articles

Contour Detection Model Based on Color Opponent Receptive Field

WU Jing-li and LIU Yuan-jing   

  • Online:2018-12-01 Published:2018-12-01

Abstract: It is very significant for contour detection to be widely used in such fields as target recognition,image segmentation and pattern recognition,etc.According to the principle of visual biology,researchers put forward contour detection methods for gray image,which achieved good results.However,the color information can represent most of the image information,and the role of if cannot be ignored when detecting contour.The CO model proposed by Kaifu Yang can extract the target contour from the image,but the execution efficiency of the model still need to be improved.In this paper,a contour detection model CRFM (Color-opponent Receptive Field) was proposed.According to visual information processing mechanism,the model simulates the response from receptive field of the retinal ganglion cells and the one from the lateral geniculate nucleus cells respecitvely.In addition,CRFM uses the partial derivative difference between two Gaussian functions having different scales to simulate the response of the double opponent receptive field in the primary visual cortex and the visual characteristics.Because the filter,which simulates the double opponent receptive field,usually produces small value,the speed is improved for computing the convolution between the filter and the image information,and the execution cost is decreased.BSDS300 database was used in the experiments.Results show that the CRFM model can obtain better performance,and has higher execution efficiency than the CO model which is very practical in realisteic application.

Key words: Receptive field,Contour detection,Color opponent,Model

[1] Marr D,Hildreth E.Theory of edge detection[J].Proceedings of the Royal Society of London,Series B,Biological Sciences,1980,207(1167):187-217
[2] Tang Qi-ling,Sang Nong,Zhang Tian-xu.Extraction of salient contours from cluttered scenes[J].Pattern recognition,2007,40(11):3100-3109
[3] Marcelja S.Mathematical description of the responses of simple cortical cells [J].JOSA,1980,70(11):1297-1300
[4] Jones J P,Palmer L A.An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex[J].Journal of Neurophysiology,1987,58(6):1233-1258
[5] Smyth D,Willmore B,Baker G E,et al.The receptive-field organization of simple cells in primary visual cortex of ferrets under natural scene stimulation[J].The Journal of Neuroscience,2003,23(11):4746-4759
[6] Rodieck R W,Stone J.Analysis of receptive fields of cat retinal ganglion cells[J].Journal of Neurophysiology,1965,28(5):833-849
[7] Li Chao-yi.Integration fields beyond the classical receptivefield:organization and functional properties[J].Physiology,1996,11(4):181-186
[8] Grigorescu C,Petkov N,Westenberg M A.Contour detection based on nonclassical receptive field inhibition[J].IEEE Transac-tions on Image Processing,2003,12(7):729-739
[9] Yang Kai-fu,Gao Shao-bing,Li Chao-yi,et al.Efficient colorboundary detection with color-opponent mechanisms[C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).IEEE,2013:2810-2817
[10] Kaiser P K,Boynton R M.Human color vision[J].Optical Society of America,1996,8(6):50-94
[11] Conway B R,Chatterjee S,Field G D,et al.Advances in color science:from retina to behavior[J].The Journal of neuroscience,2010,30(45):14955-14963
[12] Koenderink J J,Van de Grind W A,Bouman M A.Opponent color coding:A mechanistic model and a new metric for color space[J].Kybernetik,1972,10(2):78-98
[13] Solomon S G,Lennie P.The machinery of colour vision[J].Nature Reviews Neuroscience,2007,8(4):276-286
[14] Derrington A M,Krauskopf J,Lennie P.Chromatic mechanisms in lateral geniculate nucleus of macaque[J].The Journal of Physiology,1984,357(1):241-265
[15] Shapley R,Hawken M J.Color in the cortex:single-and double-opponent cells[J].Vision research,2011,51(7):701-717
[16] Shapley R,Hawken M.Neural mechanisms for color perception in the primary visual cortex[J].Current opinion in neurobiology,2002,12(4):426-432
[17] Canny J.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986(6):679-698
[18] Martin D,Fowlkes C,Tal D,et al.A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics[C]∥ Eighth IEEE International Conference on Computer Vision,2001(ICCV 2001).IEEE,2001:416-425

No related articles found!
Full text



No Suggested Reading articles found!