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Firstly,the color image is sharpen by Unsharp Mask to extract detail information,and color scaling is used to strength contrast degree.Secondly,stroke direction is generated by the method of vector field.Finally results of the pencil-drawing are gained by the line integral convolution algorithm.

首先对用户输入的图像进行Unsharp Mask锐化提取细节信息,并进行颜色放大处理以增强对比度,然后采用基于点的向量场技术生成笔画方向,最后应用线积分卷积得到具有素描风格的结果图像。

According to the ridges had the continuity in the local area, an intelligent algorithm of smoothing the direction map was proposed, and then according to the direction map the template of direction filter was designed, then the fingerprint image with the designed template was filtered and the binarization image was obtained.

并根据指纹图像在局部范围内纹线连续的特点,提出了一种智能的平滑方向图算法,再构建方向滤波模板进行方向滤波,得到指纹二值化图像。

Since the identifying target area is tilt in binary images, an approach to horizontal tilt correction based on matchstick model is presented.

针对二值化图像中待识目标倾斜的问题,提出一种基于火柴棒模型的图像水平倾斜矫正算法。

First, the original image is binarized and the noise is removed to get the target area. Then the "matchstick model" is built up. This model is used to make horizontal tilt correction to the image.

首先将原图像二值化,对该区域进行去噪处理,获取目标区域,然后构建"火柴棒"模型,再采用该模型对图像进行水平倾斜矫正。

Because of the distinct difference in the background color, we use a binary algorithm based on gray mean value and a two-step segmentation method to segment the image. In order to reduce the influence of unlinear change on the image, we divide the shooting score into two parts: integral and floating.

针对靶图像背景颜色对比度大的特点,采用一种基于灰度期望值的图像二值化算法,通过逐步分离的方法,将靶环从背景中分割出来;针对影响靶数精度的主要因素,将靶数分解为整数与小数两部分。

At the condition of high spacial frequency, the principle and methods of image blind deconvolution has been studied, and the method of regularization image blind deconvolution based total variation has been used in the restoration problem of the 1-D bar code signals. The problem of blurring and interaction of bar signals under convolution with the SPF was solved with the method.

研究了图像盲目反降晰的基本原理与方法,并将基于总变分的正则化盲目图像反降晰方法应用到我们的一维条码信号的复原问题中,很好地解决了高空间频率条件下因光学系统点扩散函数带来的信号降晰及边缘混叠问题。

All the Tikhonov regularization theory, regularization operator and regularization parameter are given a complete analysis and discussion. The differentiability of Morozov discrepancy equation is investigated. And the image noise, as the knowledge a prior, is estimated and the equation is modified.

图像复原计算方法的研究是一个反卷积的病态性求解问题,本文用反问题正则解的基本理论,对经典的图像复原方法依正则化思想进行了细致的分析与研究。

The surface of the region of interest textured in this manner is perspectively represented in the view such that the position of the slice or projection image can be recognized relative to the region of interest.

将如此结构化的感兴趣部位的表面(22)在视图中透视地显示,使得相对于该感兴趣部位的表面可以看出断面图像或者投影图像(21)的位置。

The eleven point curvature-computing method is used to locate the area of corner and point of tangency.

采用最大方差法将图像二值化,用图像形态学的梯度细化和修剪算法来提取边缘轮廓,利用十一点曲率法得到轮廓的角点和切点的大致位置。

The primary drawback of this algorithm is its high cost. Since all voxels participate in the generation of each image, it takes very long rendering time.

该算法原理简单、明了,并能产生高质量的显示图像,但由于所有体素参与了图像绘制,运行速度慢,从而,极大制约了其在交互可视化中的运用。

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