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Fully and clearly analytic expression of multiwavelet transformation is given .The experiment of speckle reduction to US image is implemented by choosing local error as threshold. Results show that multiwavelet transformation is useful for speckle reduction and there have little noise and reserve important image features such as boundary when compared to results obtained from existing the denoising methods alone.

在二维图像阵列的应用方面,通过采用局部方差作为阈值,对超声斑纹图像进行阈值化去噪处理的实验结果表明,多小波变换在有效抑制斑纹噪声的同时,相对于其他方法还能更好地保留原图像的边界等重要特征信息。

Firstly, circling around object detection algorithm, this article designed tracking wave-door and realized gray image binarization by associating the wave-door dimension with the method of sectioning threshold, then the nearest neighbor association algorithm was proposed to identify the true target from those deceptious objects caused by binarization method and the results of emulational experiment demonstrated its validity.

首先围绕目标检测算法,设计了目标跟踪波门,并结合阈值分割方法对灰度图像实现二值化,接著提出最近邻关联算法对由图像二值化所产生的虚假目标进行了有效剔除,从而检测出真实目标,仿真实验证明了该算法的有效性。

The paper solved the problems of less valid data in thermal infrared imager,impurity being on surface of specimen and uneasy dipartite corrosion area in image which happened in detection of structure parts' hidden corrosion by thermal wave imaging.Firstly,the contrast of one unheated image was enhanced by self-adaptive mathematical morphology sharpening,and then location of the impurity was confirmed by change of the image grads.

针对飞机结构隐藏腐蚀热波成像检测中出现的试件表面存在杂物、热像仪中有用数据较少、图像序列中腐蚀区域不明显等情况,首先通过对加热前的一幅图像进行自适应形态学锐化处理,提高图像的对比度,并根据图像梯度的变换情况确定出杂物的位置。

This article systematically argues four methods for image segmentation– bimodal method, iterative algorithm, Otus method and Maximum Entrop.

纸币图像的预处理过程,包括纸币图像去噪、灰度化、图像分割、图像的校正等主要步骤。

The traditional snake model only applies the features of the curve, which did not adequately apply the feature of the image. But in the algorithm, the corners of the detected object is detected based on the MIC operator; the initialized curve is set based on the corners; the object is fitted according on the snake model. The traditional snake model highly depended on the initialized position of the curve and can not get well fitted effort for the image which has the corners and concaves. The proposed algorithm preferably solve the drawbacks.

传统的snake算法只考虑曲线本身的特征,并没有充分的利用被拟合图像本身的特征,而此算法首先检测被拟和目标的角点,然后以这些角点为基准进行曲线初始化,最后根据snake算法进行目标拟和;较好地解决了传统snake模型对初始化位置敏感、对有角点和凹陷的图像收敛效果差的缺点。

Image segmentation based on the graph concept is analyzed in our thesis, a boundary finding problem is formulated as a shortest-path problem in a graph, then a watershed algorithm based ort image foresting transfonn is introduced, which is a unified and efficient approach for simplifying image processing problems to a minimum-cost path forest problem .

将图的概念应用于图像分割的研究中,把边界发现问题归结为图中的最短路径问题,从而引入了一种基于图像森林化变换(Image Foresting Transform,该方法是把图像处理问题简化为在图中求解最短路径森林问题的一种统一有效的方法)的分水岭算法,并分析了平滑滤波、梯度阈值在图像分割中的作用。

Large quantities of sophisticated guilloches can be produced without distortion. Corresponding procedure has programmed to design new patterns of OVD.

本文提出把矢量拟合的方法应用到数字光变图像的制作中,解决了图像旋转和缩放中的变形和漏点问题,并编制了相应程序,实现了诸如光变图像的任意轨迹排列等一系列功能化处理,可设计、开发出大量新型的光学可变图像。

Firstly,the mid-value filtering,the edge strengthen and the image binary conversion are used to pre-process the image,and then the values of casting surface roughness are got through characteristic acquisition.

该方法利用CCD摄像头摄取铸造表面图像并存入计算机,首先用中值滤波、图像边缘增强和图像二值化等对图像进行预处理,然后通过特征提取获得铸造表面粗糙度数值。

Gradient sharpening and Laplacian sharpening are applied to the sharpening. It is obtained from the experimental result that Laplacian sharpening is more valid in image sharpening for infrared image of warship targets in sky-sea background that is smoothened.

采取了梯度锐化和拉普拉斯锐化的方法进行锐化处理,从实验结果得出:对海天背景下平滑后的舰船目标红外图像进行锐化处理时,选用拉普拉斯锐化法比较有效。

These results have some reference value for selection of these edge-detecting operators.

然而,边缘检测又是图像处理中一个困难的问题,因为实际图像中的边缘往往是各种类型的边缘以及它们模糊化后结果的组合,由于实际图像中存在着不同程度的噪声,各种类型的图像边缘检测算法不断涌现,但对于不同算法边缘检测结果的精度却没有一个统一的衡量标准。

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