The Configuration Analysis On The Structure Of Bamboo Cell Wall

Using image processing technology, we analyze the size and shape of cell wall crystal region of bamboo's cross section during entire growth from bamboo shoot to the mature bamboo. Using region segmentation, we study the forming and distributing characteristic of crystal regions of the fiber cap, proto-sieve , thin-walled cell of vascular bundle of bamboo's cross section. On the basis of analyzing the forming process and distributing characteristic, we gain the growing rule of crystal region size of vascular bundle by threshold method.The each crystal region of vascular bundle of bamboo's cross section has formed during it's mature period .The crystal region image is clear and the difference between textures is obvious. Using Micro-Windows filter and Fuzzy C-Means, we can gain the image characteristic that to want. For texture's difference of each crystal region of cell wall of bamboo's cross section, Micro-Windows filter can filter the sparse part and reserve the dense part by choosing appropriate windows. Because of thin-walled cell's structure being remote and the cell wall of fiber cap structure being dense, we can get the dense region of fiber cap by Micro-windows filter. Fuzzy C-Means is an integrate method of image segmentation in contrast with other single method of natural texture segmentation. At first this method the image is decomposed the detail by wavelet, and then second the detail image energy is summed, finally, the detail image energy is computed by Fuzzy C-Means and gain the fiber cap of crystal region.The image processing is an effective method for getting the crystal region characteristic of cell wall of the bamboo .By processing and analyzing, we can gain the shape growing rule of crystal region of cell wall during entire growth of bamboo and lay the foundation for studying bamboo's characteristic.