An Object Detection Algorithm of Hough Transform Line Segmentation Groups Based on Learning
Zheng Qua · Computer Technology and Development · 2014
Aiming at the problems of the weak distinguishing ability for the algorithm based on single Hough Transform Line Segment( HTLS) feature,which cannot effectively deal with partial matching,an algorithm of the HTLS groups is proposed. Firstly in this paper, the algorithm extracts the Hough transform line segment feature to constitute the codebook as input of weak detector. Then through the study of AdaBoost algorithm make weak detectors structure into a strong detector,in order to improve the efficiency of detection. The final tests on the test set. To calculate the similarity between the two Hough transform line segment,a weighted Euclidean distance is introduced,through adjusting the weights,can effectively deal with unreliable edge detection problem. The experiment shows that the algorithm can deal with the partial sheltering problem,has a very good development potential.