Author(s)

Yang-Yang Mei, Hai-Ming Xie, Lu Han, Shi-Jun Guo

.

Medical equipments related to life safety of human, it is important to detect by a high precise method. Image mosaic which based on Harris corner operator is a commonly used method in this area; Harris operator has low calculation burden, it is simple and stable, so it is more effective comparing with other feature point extracted operators. But in this algorithm, corner points can only be detected in a single-scale, there may be losing information of corner points, causing corner point location offset, extracting false corner points because of noise. In order to solve this question, the acquired images should be processed by dilation and erosion operation firstly, then do image mosaic. Results show that image noise can be eliminated effectively after those morphological processes, as well as the false positive noise generated by image glitch. The success rate of image mosaic and detection accuracy can be greatly improved through the Morphology-Harris operator. Measurement of precision instruments which based on this new method will improve the measurement accuracy, and the research in this area will promote the further development of machine vision technology.

Image Mosaic; Harris Operator; Feature Point Extraction; High Precise Detection; Dilation and Erosion

Mei, Y. , Xie, H. , Han, L. and Guo, S. (2010) Medical equipments high precise detection technology basing on morphology-harris operator. Journal of Biomedical Science and Engineering, 3, 538-542. doi: 10.4236/jbise.2010.35075.