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	Complementary fruiting phenologies facilitate sharing of one pollinator fig wasp by two fig trees 期刊论文 OAI收割 JOURNAL OF PLANT ECOLOGY, 2015, 卷号: 8, 期号: 2, 页码: 197-206 作者: Peng, Yan-Qiong 收藏 \| 浏览/下载：37/0 \| 提交时间：2015/07/15 Agaonidae edge of range Ficus host specificity host switching
	An auto-focus algorithm of fast search based on combining rough and fine adjustment (EI CONFERENCE) 会议论文 OAI收割 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China 作者: Zhang S.; Zhang Y. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 A coarse and fine combined fast search and auto-focusing algorithm was suggested in this paper. This method can automatically search and find the focal plane by evaluating the image definition. The Krisch operator based edge energy function was used as the big-step coarse focusing and then the wavelet transform based image definition evaluation function which is sensitivity to the variation in image definition was used to realize the small-step fine focusing in a narrow range. The un-uniform sampling function of the focusing area selection used in this method greatly reduces the workload and the required time for the data processing. The experimental results indicate that this algorithm can satisfy the requirement of the optical measure equipment for the image focusing. (2012) Trans Tech Publications.
	Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Wu Z.-G.; Wang M.-J.; Han G.-L. 收藏 \| 浏览/下载：75/0 \| 提交时间：2013/03/25 Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
	The design of chisel-edge ruling tool for diffraction gratings (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China 作者: Zhang F.; Zhang F. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 The process of parameters design on chisel-edge ruling tool of diffraction grating which is inefficient and highly costive needs plenty ruling experience came from a series of ruling test to optimize and design it. In order to reduce the choosing range of experiential design parameters on chisel-edge grating ruling tool to improve efficiency and to reduce costs this paper summarize the experimental results of several gratings ruling process for the experiential design on parameters of chisel-edge ruling tool. Provide the specific parameters choosing range as follows: that the blaze angle and directional angle difference in less than 3 the bottom angle and apex angle difference in less than 5. Apex angle larger than the groove bottom angle in conventional grating while apex angle smaller than the bottom angle in echelle grating and the directional angle smaller than blaze angle in both condition. 2011 IEEE.
	Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The characteristic of digital CR medicine radiation image has wide dynamic range abundant details and bad contrast so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property which is more sensitive to smooth area noise compared with detail area noise and makes image edge detail enhancement great in detail area and detail enhancement little in smooth area in which factor K is based on space change of image domain accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.
	Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China 作者: Wang X.; Xu S.-Y.; Wang X.; Wang X. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode the premise doesn't exist because the scenes shot are different at any moment which brings about difficulties to the selection of the focus measure. To evaluate the image definition the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.