基于多结构鲁棒估计的虹膜外边缘定位方法

在Adaboost检测人脸区域的基础上，提出了基于多结构鲁棒估计的虹膜外边缘定位方法．通过对200幅单人脸的图像数据集的仿真实验，结果表明，本方法相比于传统的RANSAC模型生成算法以及Hough变换等方法，能得到更精确的定位结果，而且能加快有效的模型生成，虹膜外边缘定位精度达到94％．     

基于PID神经网络的滑翔增程制导炮弹解耦控制系统设计

采用Wiener空间的两个算子以及相关的恒等式，提出了新的方法证明了关于高斯过程函数的中心极限定理，并给出了该中心极限定理的应用实例.     

田间枣树叶片复杂目标图像综合分割方法

设计了一种复杂图像分割的综合算法。首先对图像进行预处理,锁定大致目标范围,对图像进行增强,再基于阈值分割和Canny算子对图像进行初步分割。然后结合形态学处理方法及各种逻辑运算对分割结果进行优化处理,得到精确完整的目标图像。以田间枣树叶片图像为例进行实验,证明了该算法的可行性和有效性。该算法对叶片重叠、叶片灰度不均匀等复杂图像都有很好的分割效果,获得了边缘清晰、平滑、定位精确的边缘图像。     

温室农用机器人的路径检测

为实现温室中基于单目视觉的机器人自适应导航,运用Susan算子点检测的方法,融合Hough变换,提出了温室环境中的路径导航线的生成算法,并将标准Susan算子改造成适应与Hough变换的二值化形式.通过对温室中113幅图像进行实验检测可知,采用此方法可有效地检测机器人导航路径,且路径检测的识别率为94%,平均导航角为0.192 2°.     

拖拉机机体振动分析方法及其应用

介绍了一些拖拉机振动试验方法。通过理论分析,对拖拉机机体的竖向振动特性进行了系统的研究,建立了一套新的、较完整的振动分析方法,并通过了大量振动试验验证,提供了许多轮式拖拉机的振动数据,为驾驶座的动态设计提供了有效实用的根据。针对拖拉机的特点,建立了双输入输出线性系统力学模型,由此推导出该系统的凝聚函数,并用于定量分析多输入输出系统中各输入于输出之间的相关性。还提供了许多应用实例。     

Stability Ishikawa Iteration Procdeure for Strongly Pseudocontractive Operator and Strongly Accretive Operator Equations

By virtue of some analysis techniques,it is proved that certain ishikawa iteration procdeure with errors are stable with respect to strongly pseudocontractive operators in real Banach space. A related result deals with stable iteration procedures for solution of the nonlinear equation of strongly accretive operators. The results presented extend and improve the corresponding by Osilike,Zeng, Chidume, Deng, Liu,et al.     

Wavelet Edge Detection Method Based-on Multi-scale Fuzzy Logic

A novel edge detection algorithm is proposed by implementing fuzzy image enhancement at different scales.The implement of this algorithm can reduce the negative influence bring from the non-maximum suppression algorithm which select only one threshold.The success of the approach depends on the selection of a general fuzzy operator(GFO) for the enhancement of contrast of region after smoothing of image at different scales.Consequently,it is more obvious that coarse intensity changes are obtained at a large scale whereas the fine details of intensity changes are obtained at a small scale.A pretty performance is obtained by used this work.     

Improved Genetic Algorithm and Its Application in TSP

Crossover operator and mutation operator are basic operators of genetic algorithm , which play important roles in improving the quality of the solution populations. We propose the improved crossover operator , mutation operator and rotation operator on the basis of good point set with the traveling salesman problem , the experimental result shows these operators are very efficient.