B.-S. Chow (Taiwan)
Morphological image processing, hierarchical data structure, sensor network
Morphological processing is suitable for fast module applications in sensor network because it is built upon simple logic operations with many extended functional interpretations such as erosion, dilation, thinning, and pruning. The processing efficiency can be further improved by being implemented in hierarchical data structure. With its hierarchical data structure, the morphological processing can be applied to be focus on any specific blocks. The conventional direct method for morphological image processing is processed by a pixel vs. pixel basis with the pictures stored in the array form. In contrast, the morphological processing with a hierarchical data structure can be processed by a block vs. block basis. This joint processing concept is first time proposed in this paper. The processing efficiency is also verified in our experiments.
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