A hierarchical algorithm for fuzzy template matching in emotional facial images
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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This paper presents a fast and accurate object search algorithm based on template matching. Template matching is an important technique within the field of image processing for searching object region from images which matches a template. Template matching has a problem that existence of background in a template causes search error. To avoid such error, in the proposed object search, a procedure called silhouette masking is newly added. In addition, to reduce computational cost, the framework of active search is used. Experimental results have shown that the proposed search has higher accuracy than the simple active search and the brute force search because the silhouette masking works efficiently. Besides, comparison between the proposed search and the brute force search has shown that computational cost can be greatly reduced by the proposed search.