Abstract
Cross correlation algorithm is the common method for image matching technique. In this paper, an expert system based on cross correlation is designed to reduce the workload of pathologist and improve the screening technology in medical field. The system is proposed to detect, locate and classify between normal and abnormal sperm head by evaluating the similarity between two images. Using cross correlation, the highest value near to one is defined as the best matching value. When this condition is obeyed, the system shows the matched image at the output together with the matching indicator. Such result indicates this system is very helpful to pathologist.
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Alias, M.F., Mat Isa, N.A., Sulaiman, S.A., Zamli, K.Z. (2008). Detection of Sprague Dawley Sperm Using Matching Method. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85567-5_67
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DOI: https://doi.org/10.1007/978-3-540-85567-5_67
Publisher Name: Springer, Berlin, Heidelberg
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