Jun-ding Sun

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Processing requirement of a complex autonomous robotic vehicle demands high efficiency in algorithmic and software execution. Today's advanced computer hardware technology provides processing capabilities that were not available a decade ago. There are still major space and time limitations on these technologies for autonomous robotic applications.(More)
This paper presents a medical image retrieval method based on the integration of corner and center local binary pattern (CLBP). The CLBP is adopted to describe the texture feature of the medical image firstly. Based on multi-scale curvature product (MSCP), the interest corners are extracted and then a new method is introduced to describe the shape feature.(More)
A new image classification method based on texture feature and improved BP neural network is introduced in the paper. By this method, image matching can be limited to the specific category, which can greatly reduce the retrieval time complexity. Comparisons are given between the improved BP neural network and the genetic BP, the experimental results show(More)
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