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Application of inverse filter in energy spectrum measuring;2. Time-varying MIMO channel tracking algorithm based on inverse filter .;3. Based on inverse filter ing technique, a method of rotating invariance matched filtering correlation recognition is proposed in this paper.

提出了用逆滤波器来进行旋转不变匹配滤波相关识别方法;采用级联变形滤波器可以实现透射匹配相关峰强度对透射输入能量的优化,大大改善相关峰的锐度,计算机模拟结果显示,对旋转图像,在平面内按 0°~ 32°旋转,每 4°取一灰度图像的旋转不变匹配滤波相关器,具有较好的相关不变识别性能,特别是目标图像在部分输入情况下也能较好地识

At first, the image defects such as isolated point, burr etc.

首先去除孤立点、毛刺等图像缺陷,得到只有一个连通区的图像,再用图像面积除以平均宽度计算物体的长度,求出对应的尾部位置。

At first, the image defects such as isolated point, burr etc. were eliminated to get the image which has only one seriate area, and then, the image area was divided by the average width to get the end position of the object.

首先去除孤立点、毛刺等图像缺陷,得到只有一个连通区的图像,再用图像面积除以平均宽度计算物体的长度,求出对应的尾部位置。

One algorithm,isoperimetric algorithm based on graph theory is applied and researched on image segmentation.Firstly,isoperimetric algorithm is applied in still image segmentation,and the result is compared with two methods based on edge detection and region detection.

1引言图像分割是图像处理领域和计算机视觉中的一个基本而关键的问题,其目的就是将人们感兴趣的目标从图像背景中提取出来,为后续的分类、跟踪、识别、处理等提供基础。

Based on the isoperimetric graph partitioning method, we propose several practical segmentation algorithms. The first is the iterative two-way cut method which can segment an image into pieces with particular characteristics each other by iteration. The second is simultaneous K-way cut method which divides the image into K parts synchronously. The last is an interactive method separating objects of interest from the background by the user's input specifying the object of interest manually.

基于等周分割方法,我们提出了几种实用的分割算法:第一种是迭代2分方法,它通过迭代的方法将图像分割成各具特征的小区域;第二种是同时直接K分法,同时将图像分割成K个部分;最后一种方法是交互分割法,它依赖人工输入来指定所要分割的感兴趣目标,将图像目标从背景中分离出来。

They have to get the same resolution, which is called isotropic in three dimensions before which are used to reconstruct.

本文通过图像插值、图像复原和三维重建三个方面的研究来最终建立LSCM图像序列的三维模型。

The edge pixel is processed by Partial Differential Equation. PDE enhances edge and smoothes jaggies in the edge. The pixel in smooth regions of under-interpolated image is processed by Non Local-means model. NL-means model gets gray value of pixel by weighted averaging global information in image and image is smoothed.

使用偏微分方程处理边缘像素,锐化边缘同时平滑边缘块状效应;平滑区域像素点的插值操作使用非局部均值模型,非局部均值模型通过对原始图像全局信息加权平均得到待处理图像像素值,图像平滑。

The algorithm can effectively avoid jaggy edges and improve image quality.

仿真结果表明,对人造图像和自然图像,本算法均能保持良好的边缘特征,取得较理想的图像缩放效果。

Experimental results demonstrate that this algorithm model is terse and realizable easily, the blur and jaggy of image detail are avoided.

实验结果表明,算法模型简单易于实现,消除了传统图像插值算法边缘锯齿和模糊,保持了图像边缘细节和纹理特征,对彩色图像视觉效果更为明显。

Experimental results demonstrate that this algorithm model is terse and realizable easily, the blur and jaggy of image detail are avoided. The visual quality of the color interpolated images is more prominent.

实验结来表明,算法模型简单易于实现,消除了传统图像插值算法边缘锯齿和模糊,保持了图像边缘细节和纹理特征,对彩色图像视觉效果更为明显。

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