Description: 这是本人自己编写的可用于256*256大小的图像进行sobel边缘检测的vhd文件，可在QuartusII或MaxplisII下综合和仿真，并在FPGA上测试过。可以进行修改支持其他大小图像的sobel边缘检测，同时还可以实现其它的图像模块化处理算法，例如高斯滤波，平滑等。-this is my own preparation for the 256 * 256 size of the image segmentation Edge Detection vhd document in the next QuartusII or MaxplisII integrated and simulation, and the FPGA tested. Can be adapted to support other size image segmentation edge detection, It can also achieve other modular image processing algorithms, such as Gaussian filtering, smoothing and so on. Platform: |
Size: 3135 |
Author:刘洋 |
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Description: 这是本人自己编写的可用于256*256大小的图像进行sobel边缘检测的vhd文件，可在QuartusII或MaxplisII下综合和仿真，并在FPGA上测试过。可以进行修改支持其他大小图像的sobel边缘检测，同时还可以实现其它的图像模块化处理算法，例如高斯滤波，平滑等。-this is my own preparation for the 256* 256 size of the image segmentation Edge Detection vhd document in the next QuartusII or MaxplisII integrated and simulation, and the FPGA tested. Can be adapted to support other size image segmentation edge detection, It can also achieve other modular image processing algorithms, such as Gaussian filtering, smoothing and so on. Platform: |
Size: 3072 |
Author:刘洋 |
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Description: 介绍并实现了一套完整的指纹图像预处理方法,通过剩余块处理和平滑方法改进了传统
的指纹图像分割算法 使用方向匹配的方法对指纹图像方向块进行方向滤波完成图像增强 并除去细化后存在的短线和毛刺。该算法对Secugen指纹仪采集的图像和FVC2004数据库中的指纹图像进行实验,结果表明经过预处理后的指纹图像质量得到明显增强,方便进行细节特征提取。-Introduction and realize a complete set of fingerprint image pre-processing methods, and treatment through the remaining block smoothing method to improve the traditional fingerprint image segmentation algorithm using the direction of matching the method of fingerprint image filtering direction the direction of block completion of image enhancement and refinement to remove after the the existence of short-term and burr. The algorithm for fingerprint Secugen Miriam Collection FVC2004 images and fingerprint images in the database to conduct experiments, results showed that after pretreatment of the fingerprint image quality has been markedly enhanced, to facilitate the details of feature extraction. Platform: |
Size: 750592 |
Author:张杰 |
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Description: 该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码-Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding Platform: |
Size: 398336 |
Author:guhuxiang |
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Description: 实现2维图像的显示，预处理，分割等操作，包括平滑，部分滤波，边缘检测，增长等-The realization of 2-D images show that pre-processing, segmentation and other operations, including smoothing, some filtering, edge detection, growth, etc. Platform: |
Size: 3969024 |
Author:Lucifer |
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Description: 源码1：实现对图像平滑处理。比如噪声消除(二什图像的黑白点噪滤除；消除孤立黑像素点)；邻域平均
法；中值滤波；加噪等。
源码2：对图像进行阈什分割和轮廓提取。
源码3：进行图像的合成。
源码4：图像的变换域处理
源码5：锐化及边缘检测
源码6：灰度变换
motiondetect1：基于OpenCV 运动检测(摄像头或.avi)-Source 1: Implementation of image smoothing. Such as noise reduction (2 points, even black and white image noise filtering eliminate isolated black pixels) neighborhood average median filter adding noise and so on. Source 2: What threshold image segmentation and contour extraction. Source 3: Synthesis of the image. Source 4: Image 5 Transform Domain Source: sharpening and edge detection Source 6: The gray-scale transformation motiondetect1: OpenCV-based motion detection (the camera or the. Avi) Platform: |
Size: 7205888 |
Author:stone |
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Description: 系统有以下部分组成：电脑自带摄像头拍照、人脸检测、将人脸照片录入数据库、输入照片进行人脸识别。本程序是基于肤色识别的方法对人脸进行检测，人脸肤色范围是100≤B≤120，140≤R≤160，所以将此范围内的像素点置白，剩余部分置黑。利用imerode函数对图片进行球状腐蚀，然后再对图片进行中值滤波，达到平滑效果。最后，对于这张已经缩放而且二值化和各种处理之后的照片来说，如果白化区域的像素点少于1000，就舍弃。将图片进行分割，这里我们引进了欧拉数。
这样就可以把一些类似颜色人脸的背景排除。最后对于每块白化区域，确定其边界然后画出，便可以完成多人脸检测。
-System has the following components: The computer comes with the camera, camera, face detection, face recognition face photo entry database, enter the photo. This procedure is a method based on color recognition, face detection, face color range 100 ≤ B ≤ 120,140 ≤ R ≤ 160, so set white pixels within this range, the remaining part of the set black. Globular corrosion imerode function of the picture, then picture the median filtering to achieve a smoothing effect. Finally, for this has been scaled but binarization and various processing after pictures, if the pixel point of the whitened area is less than 1000, it is discarded. Image segmentation, we introduce the Euler number. This can exclude the background of similar color face. Finally, for each block of albino region and then draw its boundary, we can complete multiple face detection. Platform: |
Size: 301056 |
Author:魏宗帅 |
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Description: 《图像处理的偏微分方程方法》随书光盘完整版
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。-" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a description of the boo Platform: |
Size: 7414784 |
Author:marshal |
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Description: 1、能对图像文件（bmp、 jpg、 tiff、 gif等）进行打开、保存、另存、打印、退出等功能操作；
2、数字图像的统计信息功能：包括直方图的统计及绘制、区域图的面积、周长的统计、线条图中的距离测量等；
3、数字图像的增强处理功能：
（1）空域中的点运算、直方图的均衡化、各种空间域平滑算法（如局部平滑滤波法、中值滤波等）、锐化算法（如梯度锐化法、高通滤波等）
（2）频域的各种增强方法：频域平滑、频域锐化、低通滤波、同态滤波等。
（3）色彩增强：伪彩色增强、真彩色增强等
4、图像分割：
（1）点、线（hough变换检测直线）、及边缘检测（梯度算子、拉普拉斯算子等）；
（2）区域分割包括阈值分割、区域生长、分裂合并等；
5、数字图像的变换：普通傅立叶变换(ft)与逆变换（ift）、快速傅立叶变换（fft）与逆变换(ifft)、离散余弦变换（DCT），小波变换等。-1, capable of image files (bmp, jpg, tiff, gif, etc.) open, save, save, print and exit functions such operations
2, the digital image statistics features include: histogram statistics and drawing, area of area, perimeter statistics, line graphs of the distance measurement
3, digital image enhancement processing functions:
(1) airspace point operations, histogram equalization, a variety of space-domain smoothing algorithm (such as local smoothing, median filtering, etc.), a sharpening algorithm (such as sharpening gradient method, high-pass filtering, etc.)
A variety of enhancement methods (2) the frequency domain: smooth frequency domain, frequency domain sharpening, low pass filter, homomorphic filtering.
(3) Color Enhancement: pseudo-color enhancement, true color enhancement, etc.
4, image segmentation:
(1) point line (hough transform to detect straight line), and edge detection (gradient operator, Laplace operator, etc.)
(2) dividing the region include thres Platform: |
Size: 169984 |
Author:马振磊 |
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Search - segmentation filtering and smoothing