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Hand Pressure Detection Among Image Sequence In Breast Self-Examination Multimedia System

The hand pressure applying on breast determines the possibilities of lump detection during breast self-examination. In the paper, a method of estimating hand pressure is presented by means of image entropy among image sequence obtained by a Web camera in breast self-examination based on multimedia system. Firstly, the breast self-examination multimedia system is described in detail. Then according to the statistic character of image entropy, calculating the difference between current and initial image and giving the entropy of the difference, we may obtain the estimation of the hand pressure. The estimated pressure is proved to be accurate through a human-like silicon breast experiment. The dynamic model of the breast is set up, close to Hook rule by means of verifying of the proposed pressure estimation. The algorithm is simple and the calculation is limited in a local region of the images, which is beneficial to real-time realization.