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According to the boundary curve features of the object, all kinds of boundaries sign patterns of the object are setup and used to train the second RBFNN, so as to tangent points, inflection points with low curvature and boundary types.

根据工件边缘曲线的特征,建立了各种边缘的曲率符号模型,用该模型训练第二个RBFNN,从而识别具有低曲率的切点和拐点及边缘曲线的类型。

To deblur edge after image magnifying,an adaptie edge sharpness presering image magnification is put forword,which can fit edges of any direction,gradient and amplitude,utilizing the gradient imgormation of the image and the properties of the hyperbolic tangent function haing reiewing the character of a typical edge.

针对图像放大后出现边缘模糊的现象,论文考察了典型边缘的特征,利用图像的梯度信息和双曲正切函数的性质,提出了一种较好地拟合任意方向、陡度和幅度的边缘,因此能够保持边缘锐度的自适应图像放大算法。

On the contrary, as the car runs fast, we couldn't get stable background image, and we can get only one picture as it pass by the tollbooth in order to satisfy the request of real time processing. We proposed the method of differencing image in one frame to get the moving edge.

将一帧图像的两场作为不同时刻的图像,作前后帧减影,得到运动边缘,为了克服图像中的水平边缘分割为运动边缘的问题,我们提出了一种局部门限的方案,取得了很好的运动边缘分割效果。

Most traditional algorithms of image edge detection use gradient maximum or zero-crossing based on gray discontinuousness on edge. They are affected easily by noise.

传统的边缘检测算子大都基于边缘的灰度不连续性,利用梯度局部最大值或二阶导数过零点来检测边缘,容易受噪声干扰。

Mostly, traditional arithmetic of image edge detection distill edge using gradient maximum or zero-crossing which bases on gray discontinuousness on edge, and it is affected easily by noise.

传统的边缘检测算子大都是基于边缘的灰度不连续性利用梯度局部最大值或二阶导数过零点来检测边缘,容易受噪声干扰。

Mostly, traditional arithmetic of image edge detection distill edge using gradient maximum or zero-crossing which base on gray discontinuousness on edge.

传统的边缘检测算子大都是基于边缘的灰度不连续性利用梯度局部最大值或二阶导数过零点来检测边缘,容易受噪声干扰。

Mostly, traditional arithmetic of image edge detection distill edge using gradient maximum or zero-crossing which base on gray discontinuousness on edge. They are affected easily by noise.

传统的边缘检测算法大都是基于边缘的灰度不连续性利用梯度局部最大值或二阶导数过零点来检测边缘,容易受噪声干扰。

A merge-split algorithm based on study property of neural net and sum aggregate is presented. Its merit is that its merge is disconnected a little and freedom satisfies the adaptability, and it is realized during learning rather than stipulating in advance. Furthermore, the method of fitting edge of uncontinuous image with neural net is given. The method can carry on the fit at self-learning, using its learning function fully under the circumstances without the mathematical function form of edge.

提出了一种基于神经网络学习特性和集合论的边缘分段算法(Merge-Split),优点在于它的分段间断点、自由度满足自适应性,能在学习过程中实现而不必事先规定;进一步提出神经网络拟合不连续的图像边缘的方法,在无边缘数学函数形式的情况下,充分利用其学习函数的任意逼近和自学习性进行拟合,实践证明该方法可以克服以往边缘拟合方法的不足。

The results shoed that the total tree biomass in the transects adjacent the road was slightly higher than that of the inner forest communities, showing a positive edge effect, while the soil acidity and total nitrogen content in downgrade transects showed a negative edge effect.

结果表明,紧邻道路两边样带的乔木总生物量略高于群落内部,表现出边缘的正效应。道路坡下边缘土壤的pH值较高,全氮含量最低,边缘效应为负效应。

As for the serrated phenomenon on image edges, the algorithm interpolates the image edges with the bi-cubic algorithm when interpolating. Thus, the visual effect on edges can be optimized.

针对图像边缘处的锯齿现象,该算法在图像插值时对边缘像素采用双三次插值,优化了图像边缘的视觉效果。

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