Detection of Sprague Dawley Sperm Using Matching Method

  • Authors:

  • Mohd Fauzi Alias;Nor Ashidi Mat Isa;Siti Amrah Sulaiman;Kamal Zuhairi Zamli

  • Affiliations:

  • School of Electrical & Electronic Engineering, University Science Malaysia, Engineering Campus, Nibong Tebal, Malaysia 14300;School of Electrical & Electronic Engineering, University Science Malaysia, Engineering Campus, Nibong Tebal, Malaysia 14300;School of Medical Science, University Science Malaysia, Kelantan, Malaysia;School of Electrical & Electronic Engineering, University Science Malaysia, Engineering Campus, Nibong Tebal, Malaysia 14300

  • Venue:
  • KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
  • Year:
  • 2008

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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.