Description: When looking at a three-dimensional (3D) specimen through a transmitted brightfield optical microscope, only the part of the specimen contained in the focal plane appears sharp while the remainder looks smooth. The deconvolution task consists in deblurring the observed image in order to recover the original shapes of the object. Although 2D deconvolution softwares are available freely, the 3D consideration gives rise to many problems leading to the impossibility to recover the original images without any assumptions. Moreover some noise is added to the signal, it has been considered as a white Gaussian noise. Platform: |
Size: 72704 |
Author:薛斌 |
Hits:
Description: 本程序可实现图像平滑，其主要目的是为了减少噪声。本程序中，我们首先对图像加了一个较大的白噪声，之后用中值对含噪图像进行处理。-This procedure can realize smooth image, and its main purpose is to reduce the noise. This procedure, we first added a larger image of the white noise, followed by in the value of the deal with noisy images. Platform: |
Size: 4096 |
Author:崔以田 |
Hits:
Description: 程序可以选择输出二值图像。二值图像可以通过对每个梯度点取阈值得到，其中阈值T为输入参数。并且要求结合3*3掩模的平滑运算和本实验上面的原算，并对图像进行处理，分割出图像中间的大血管区域，并将结果用二值图表示。在实验中需要对平滑运算方法和阈值T进行反复调整。-Program can choose the output binary image. Binary image can be taken for each gradient point to the threshold should be, in which the threshold T for the input parameters. And requirements with 3* 3 mask and the smooth operation of the experiment above the original balance, and image processing, image segmentation of the middle region of the great vessels, and the results expressed by binary image. In the experiment the need for smooth computing methods and repeated T threshold adjustment. Platform: |
Size: 135168 |
Author:jhm |
Hits:
Description: canny检测器是很有效的边缘检测器，该函数可以实现对目标图像的边缘提取。该方法总结如下：1.图像使用带有指定标准差的高斯滤波器来平滑，以此减少噪声；2.在每一点计算局部梯度和边缘方向；3.第二步中确定的边缘点会导致梯度幅度图像中出现脊，然后追踪所有脊的顶部，并将所有不再脊顶部的像素设置为0；4.执行边缘链接-canny detector is very effective edge detector, this function can be achieved on the target image edge detection. This method is summarized as follows: 1. Image used with the specified standard deviation of the Gaussian filter to smooth out, thereby reducing the noise 2. In the calculation of each point of local gradient and edge direction 3. The second step in determining the edge points will led to the image gradient magnitude ridge appears, and then keep track of all of the top of the ridge, and ridge at the top of all the pixels are no longer set to 0 4. the implementation of the edge link Platform: |
Size: 185344 |
Author:hanyantao |
Hits:
Description: 提出了一种基于肤色的精确人脸定位算法,详细叙述了在图片的颜色调整与肤色检测,肤色区域的平滑、
分割与填充,候选眼睛的选取及配对中遇到的具体问题并提出了解决方案. 本算法能较为准确地定位彩色图像
中的正面、小角度偏侧和旋转的人脸,还能检测出一幅图中的多个人脸.-Presents a human face based on skin color precision positioning algorithm, described in detail in the image color adjustment and color detection, color, region, smooth, split with the filling, the candidate selection and matching eyes, the specific problems encountered and suggested a solution program. This algorithm can be more accurately positioned in color images of the positive, unilateral small-angle and rotation of the face, but also detected a diagram of the multi-person face. Platform: |
Size: 222208 |
Author:hope |
Hits:
Description: 利用图像分割检测细胞，在获得细胞的边缘后，使用形态学中的膨胀操作和填充操作使细胞边缘跟光滑。-Cells were detected by image segmentation, the edge in access to cells, use the morphology of the expansion of operations and fill with the smooth operation of the cell edge. Platform: |
Size: 1024 |
Author:力量 |
Hits:
Description: 数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。
-Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results. Platform: |
Size: 281600 |
Author:刘雨相 |
Hits:
Description: 本演示实现了主动轮廓模型由Kass等人提出。
要运行它的图形用户界面
1。基于MATLAB型引导提示。
2。关于“到现有的图形用户界面，点击”
3。选择在与本文件相同的目录snk.fig文件
4。按一下上方的绿色箭头启动图形界面
一旦GUI已经启动，您可以通过使用蛇
1。点击“新形象”，并加载输入图像。提供的样品图像。
2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。
3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。
4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。-This demo implements the Active Contour Models as proposed by Kass et al.
To run it with GUI
1. Type guide on the matlab prompt.
2. Click on "Go to Existing GUI"
3. Select the snk.fig file in the same directory as this file
4. Click the green arrow at the top to launch the GUI
Once the GUI has been launched, you can use snakes by
1. Click on "New Image" and load an input image. Samples image are provided.
2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image.
3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points.
4. Set the various snake paramete Platform: |
Size: 333824 |
Author:zhou |
Hits:
Description: 有效的肤色分割程序，将RGB颜色空间转化到YCbCr空间，有效处理了光照 通过形态学处理完善了图片肤色分割的圆滑程度-Skin color segmentation and effective procedure to RGB color space conversion to the YCbCr space to deal effectively with the light through the morphological processing and improved color image segmentation smooth level Platform: |
Size: 1024 |
Author:jack |
Hits:
Description: 使 用 说 明
本光碟中包含五个文件夹。
（1）视频剪辑：可供教学演示，其中，"two_cells"是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程；"denoissing"是利用P_M方程，对图像平滑去噪的演化过程 "curve_linear_heat_flow"是利用FT实现的闭合曲线的线性热流演化过程。
（2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。
（3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。
（4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。
本光碟中的所有内容，仅供教学和研究参考。-This cd-rom contains five folder.
(1) video clip: for teaching demonstration, among them, "two_cells" is modified variational level set method, realize the GAC model of image segmentation evolution process "Denoissing" is to use P_M equation, the noise of the image smooth evolution process "Curve_linear_heat_flow" is the use of the realization of the FT closed curve of the evolution process of the linear heat flux.
(2) binary images: one of the image for morphology image processing experiments with, but through the extraction of the object boundaries, the curve evolution for use.
(3) gray image and color images: one of the image, image segmentation, can be used as a smooth filtering, contrast enhancement, color and enhance image magnification of the material.
(4) MATLAB: including more than 10 MATLAB program or (function) of source code. The comments in the program, and the book about the description of the corresponding algorithm is consistent.
The entire content of the disc, o Platform: |
Size: 7410688 |
Author:何最红 |
Hits:
Description: 提出一种小波分析实现图像融合的方法，并给出Matlab 程序实现。该方法使用线性变换调整图像间融合度，进而实现图像渐变的特效，实验证明，该方法具有使用简单，图像过渡平滑等优点，也进一步证明小波分析在图像处理等领域具有广泛的应用。-Proposed a wavelet analysis of image fusion method, and gives Matlab program. This method uses linear transformation to adjust the degree of integration between images, thus achieving an image gradient effects, experiments show that the method is simple, smooth image transition, etc., are further evidence of wavelet analysis in image processing and other areas with a wide range of applications. Platform: |
Size: 1024 |
Author:xuechun |
Hits:
Description: 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的，因此适合于功率受限的应用。(Face detection and tracking is an important and active research field, and it has a wide range of applications in video surveillance, biometrics, video coding and other fields. The goal of the project is to implement real-time systems on the FPGA board to detect and track faces. Face detection algorithms include skin segmentation and image filtering. The location of the human face is determined by calculating the centroid of the detected region. The software version of the algorithm is implemented independently and tested on MATLAB still images. Although the conversion from MATLAB to Verilog is not as smooth as expected, the experimental results demonstrate the accuracy and effectiveness of real-time systems, even in different light, facial gestures and color conditions. All hardware implementations are performed in real-time with minimal computational complexity and are therefore suitable for power constrained applications.) Platform: |
Size: 63488 |
Author:合发
|
Hits:
Search - smooth image with matlab