Title :
Fast template matching with partial skipping using sub-template
Author :
Qiao Zhang ; Huijie Gao ; Zhen Kang
Author_Institution :
State Key Lab. of Multi-spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Tech, Wuhan, China
Abstract :
This paper presents a new fast template matching method with partial skipping using sub-template. In this method, we use sub-template to search point by point in the current searched window, and compare every SAD with threshold, if some SAD exceeds the threshold, set the new threshold equal to this SAD value and this point is one potential optimization location, when all points in the current window are compared, we will get a minimum value and a optimization location, then skip the other points whose SAD is not the minimum value. In other words, the searching step is that template size subtracts the subtemplate size, and we set the next threshold equal to the current optimization SAD value, we update the threshold and the optimal point until the end of the searched image like this, then will find the global minimum points and its SAD value. Experimental results show that the proposed method is near one hundred times faster than the conventional template match method.
Keywords :
image matching; image segmentation; optimisation; SAD value; fast template matching method; global minimum points; optimal point; partial skipping; point searching; potential optimization location; sub-template size subtraction; Accuracy; Computational efficiency; Correlation; Pattern recognition; Prediction algorithms; Search problems; Signal processing algorithms;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0173-2
DOI :
10.1109/ICALIP.2012.6376739