J4 ›› 2017, Vol. 34 ›› Issue (4): 414-419.

• Image and Information Proc. • Previous Articles     Next Articles

Vehicle outer contour extraction based on the dual antagonistic mechanism of visual neurons

  

  • Received:2016-03-21 Revised:2016-05-03 Published:2017-07-28 Online:2017-08-29

Abstract: Abstract: In view of the fact that the traditional edge detection operator will generally transform color image to gray image processing to extract the vehicle outline,it is easy to lost the image color features.We introduced double antagonistic mechanism of visual neurons contour extraction algorithm into the automobile outer contour detection. The proposed edge extraction algorithm can make full use of the image color feature. The experimental results show that the proposed dual antagonistic mechanism algorithm can extract the contour efficiently, and can effectively suppress the false contour. Further more, in order to suppress the false contour due to the car body reflection, We proposed an adaptive double threshold algorithm to extract better outer contour of automobile. The algorithm combined extended OTSU algorithm with dual threshold algorithm based on image processing. Experiments show that the algorithm can well inhibit the false contour and internal irrelevant contours, extraction of automobile contour is continuous.

Key words: extended OTSU algorithm

CLC Number: