Abstract
Image location affects the accuracy of image recognition. To improve accuracy and efficiency of the object location, the histogram matching method is designed, and a new common image location algorithm based on histogram matching is proposed. The algorithm uses the statistical characteristics of the histogram and determines the object location in the sequence image by calculating the histogram correlation between the object image and the pixel block of the image sequence. To verify the feasibility of the new algorithm, this paper locates the bird position in the sequence image of Flappy Bird (a popular mobile game) with the new algorithm. Experimental results show that the object in sequence images with the same size or almost the same size (such as direction variation), the algorithm is efficient and accurate. By testing 100 sequence images, the recognition rate of the new algorithm is 100%.
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The research work of this paper is supported by the National Natural Science Foundation of China (61501465) and the Fundamental Research Funds for the Central Universities (2015QNA68).
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, X., Gao, J. (2017). Image Location Algorithm by Histogram Matching. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_66
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DOI: https://doi.org/10.1007/978-3-319-59288-6_66
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