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These above problems, which are very important and valuable in agricultural crops area monitoring, are currently less researched. Hence, in this paper, seven types of common texture and five vegetation indices were respectively added into TM multispectral bands to classify using three different methods, which are Minimum Distance, Maximum Likelihood and Support Vector Machine, and analyze the effect on winter wheat identification accuracy by comparing the classification results. The contexture include Mean, Variance, Homogeneity, Contrast, Dissimilarity, Entropy, Variance, Angular Second Moment and Correlation, and the vegetation indices are RVI, SAVI, RDVI, NDWI and SLAVI.

为此,该文将平均值、方差、均一性、反差、相异性、熵、角二阶矩、灰度相关7种纹理信息以及比值植被指数、土壤调整植被指数、重归一化植被指数、植被液态水含量指数、有效叶面积植被指数5种植被指数信息分别加入到TM多光谱数据中,同时还进行了最佳波段选择,利用最小距离、最大似然和支持向量机3种方法进行分类提取小麦,研究了不同特征信息对小麦测量精度的影响。

The paper includes the constitutes of system hardware, image pretreatment, the achievement of parameter detection artithmetic. The main work is as follow: The pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. Using this method we may get different grey vehicles from the background exactly. Used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition; Improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines; And to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization; In the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates.

本文根据智能交通控制与仿真对于交通流量、车辆到达率、车辆速度等交通信息检测的需求,基于视频图像进行了交通信息处理的算法研究与实现,主要工作包括以下几个方面:将先锋遗传算法应用到图像阈值分割中,利用先锋遗传算法寻求全局最优阈值,可以比较准确的将图像中不同灰度的车辆从背景中分离出来;采用支持向量机理论进行了车辆自动分类的仿真研究,仿真结果证明该方法能够比较准确的将车辆的类型进行识别;改进了基于背景自动更新的虚拟检测区域算法,提高了车辆检测的实时性和准确性;并对基于虚拟检测区域的图像处理算法实现进行了详细说明;论文中还介绍了基于灰度连续性的运动车辆特征提取算法进行车辆的特征提取以及采用彩色过滤器同灰度图处理相结合的定位方法进行车辆牌照定位的实现方法。

The aim of the steganography is to confuse the illegal eavesdropper not knowing where the secret information has.

本文对信息隐匿技术进行了研究,主要研究了将灰度图像作为秘密信息嵌入到掩护媒体中,进行秘密通信的信息隐匿技术算法。

It employs the complex-valued step function to build neural model, then constructs network structure and decides the number of neurons; it adopts complex-valued Hebbian rules and inner product way to calculate the net weight matrix; then it analyzes the convergence of the network by taking advantage of the definition of energy function. In the image pre-processing stage, 2-dimensional Fourier Transform and Euler's formula are used, respectively, to transfer a gray-scaled image into phase information needed by the complex-valued neural network when stores the traffic sign. In the image post-processing stage, phase inverse transformation is used to change the phase image to gray-scaled image.

采用复数阶跃函数构建了神经元模型,建立了复数Hopfield神经网络结构,并且确定了网络中神经元的个数;借助复数Hebbian学习规则和复数内积法给出了网络权值的确定方法;借用复数网络能量函数的定义,说明了复数识别网络的收敛性;在前期的图像数据处理部分,分别使用离散二维傅里叶变换和欧拉公式,给出了将灰度图像数据转化为复数网络所需要的相位信息的方法,实现了网络对路牌的记忆存储;在后期的图像还原部分利用相位逆变换的方法,实现了相位图到灰度图转化。

The image is segmented into a large number of small patches using toboggan algorithm on the basis of local gray value,and each of such patches is considered as a node,then the law of gravity is used to define weights between the nodes.

利用图像的局部灰度信息进行滑降分割,将图像分割成多个小区域;把每个小区域作为一个节点,采用万有引力定律来定义各个节点之间的权值,利用随机游走算法产生最终的分割结果。

The image is segmented into a large number of small patches using toboggan algorithm on the basis of local gray value,and each of such patches is considered as a node,then the law of gravity is used to define weights between the

利用图像的局部灰度信息进行滑降分割,将图像分割成多个小区域;把每个小区域作为一个节点,采用万有引力定律来定义各个节点之间的权值,利用随机游走算法产生最终的分割结果。

The results showed that there were significant differences among parameters of texture feature of the different land utilization. In the desertification, the mean and variance were comparatively high. The gray level was asymmetry, the contrasts between neighboring pixels were significant; while in water and irrigable land, the mean, variance was a little bit low, the grey level was symmetry; the mean, variance and gray level in the forest and dry land was between the above (desertification and water and irrigable land).

不同土地利用类型之间纹理特征参数差异明显,荒漠化土地的均值、方差值较高,灰度分布不均匀,相邻像元反差明显,内部变化剧烈;水体和灌溉耕地的均值、方差值很低,灰度值均匀,内部变化小;林地和旱耕地信息介于上述两类土地之间。

If the various gray information,which are acquired in a scotopic condition and can not be resolved by human vision is put to the gray level of the just noticeable difference, the human vision contrast resolution in the scotopic condition can be nonlinearly compensated.

将在暗视觉条件下所获得的人类视觉不能分辨的不同灰度的信息,放在恰可分辨的灰度水平上,进行非线性补偿。

There is much noise in the state of eyes opening unforcedly, so the noise processing is necessary, the upper and lower eyelids are removed by parabola fitting, the facular is removed by neighboring gray average, the eyelashes are removed by finding all the candidate eyelashes by local gray minimum firstly, then the false eyelashes are removed by the beginning location, directional and length information of the eyelashes.

在人眼自然睁开状态下存在噪声,因此需要进行去噪操作:通过抛物线拟合的方法去除上、下眼睑;利用邻域灰度均值法去除光斑;去除眼睫毛时先用局部灰度极小值的方法找到所有候选眼睫毛点,然后利用眼睫毛的起始信息、方向信息和长度信息去除伪眼睫毛点。

The feature vector not only describes target regional shape but also characterizes gray statistical distribution of local target region in SAR images.

该特征向量体现了SAR图像区域目标的形状特征和区域的灰度信息

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