Description: 用matlab编写的一种依赖坐标的图像分割方法，即动态阈值分割法-using Matlab prepared by the coordinates of a reliance on image segmentation method, that is, dynamic thresholding segmentation method Platform: |
Size: 1024 |
Author:马文 |
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Description: ChunmingLi编写的levelset程序，主要用于图像分割。-ChunmingLi levelset prepared by the procedure used mainly for image segmentation. Platform: |
Size: 780288 |
Author:葛俊锋 |
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Description: 在一个图像中检测目标是图像分割的一个例子。为分割连通目标，时常用Watershed变换。如果把一幅图像看做一个具有山(高亮度)和低谷(低亮度)的表面，那么这个变换在一幅图像中找亮度低谷。-in an image detection of image segmentation is a case in point. Segmentation of connectivity, often used Watershed transform. If an image is seen as a Hill (high-brightness) and the bottom (low brightness) of the surface, Well, this transformation in an image brightness for a low ebb. Platform: |
Size: 2048 |
Author:何子鸣 |
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Description: 本程序是基于一维最大熵的图象分割。该程序的特点是处理速度快。-This procedure is based on the maximum entropy of one-dimensional image segmentation. The program is characterized by fast deal. Platform: |
Size: 1024 |
Author:h |
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Description: 使用光流法进行的视频图像分割The Lucas-Kanade algorithm for motion estimation was used, and was implemented in Matlab due to the fact that most of the matrix operation functions that are needed are already available and hence saves time by not having to implement these functions again. -The use of optical flow method of video image segmentation The Lucas-Kanade algorithm for motion estimation was used, and was implemented in Matlab due to the fact that most of the matrix operation functions that are needed are already available and hence saves time by not having to implement these functions again. Platform: |
Size: 256000 |
Author:selina |
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Description: P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: color plates partition P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: the structure of character recognition feature extraction Functions Platform: |
Size: 48128 |
Author:林先生 |
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Description: 自己编的图像水平集分割matlab方法，已经成功运行，中间辅以形态学算子-Own level set image segmentation matlab methods, have successfully run the middle accompanied by morphological operators Platform: |
Size: 1024 |
Author:强军 |
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Description: 医学图像处理，绝得能用的细胞边缘检测，分割最佳阈值的迭代算法，轮廓提取受噪声影响的分析-Medical image processing, the cells must have to use edge detection, segmentation optimal threshold of iterative algorithm, contour extraction affected by noise analysis Platform: |
Size: 61440 |
Author:冯董 |
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Description: 摘 要
文章以空间监控系统为背景,深入研究了JPEG图像压缩标准的实现方法,并基于FPGA对其进行了实现和优化。文中给出了详细的实现方法和优化过程,测试表明达到了很好的效果。
简单介绍了有损静态图像压缩当前有两种比较流行的标准JPEG和JPEG2000。说明了用JPEG方法压缩的原因。
介绍JPEG基本原理：JPEG对灰度图像的压缩处理过程主要包括:图像分割,离散余弦变换(DCT),量化(Quantization),“Z”形排序(Zigzag Scan),差分脉冲编码调制(Differential Pulse Code Modulation,DPCM)对直流系数(DC),行程长度编码(Run-Length Encoding,RLE)对交流系数(AC),霍夫曼(Huffman)编码等。
JPEG标准的特点是离散余弦变换。
比较详细介绍压缩系统的构成和实现。实现提及步骤， JPEG压缩模块设计和编码模块实现细节。
-Abstract
Article in the space monitoring system for the background, in-depth study of the JPEG image compression standard implementation methods and carried out based on FPGA implementation and optimization. In this paper, a detailed method of implementation and optimization of the process, testing showed that to achieve good results.
Easy introduction of harmful static image compression has two kinds of comparisons that the current popular standard JPEG and JPEG2000. Illustrated by the reasons for JPEG compression method.
JPEG introduce the basic principles: JPEG compression of gray-scale image processing include: image segmentation, discrete cosine transform (DCT), quantization (Quantization), "Z"-shaped sort (Zigzag Scan), differential pulse code modulation (Differential Pulse Code Modulation, DPCM) on the DC coefficient (DC), Run Length Encoding (Run-Length Encoding, RLE) of the exchange coefficient (AC), Hoffman (Huffman) coding.
JPEG standard is characterized by discrete Platform: |
Size: 523264 |
Author:压子 |
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Description: matlab处理指纹图像，由于指纹的唯一性、可靠性和稳定性，指纹已成为身份识别和鉴定的一个重
要标志，并被公认为“物证之首”。指纹识别作为一种生物识别技术，历来受到人们的广泛关注和重视，是未来个人身份认证的重要组成部分。-Fingerprint image processing matlab，Because the uniqueness of fingerprints, reliability and stability,fingerprint identification has become an important symbol of appraisal,and is recognized as the "first" material.The fingerprint identified as a kind of biometrics,has received extensive attention of,the individual identity authentication is the important component.Based on the MATLAB software applications for tools,for fingerprint image preprocessing and feature extraction technology research.Including pretreatment part involves by different methods of fingerprint image segmentation to extract valid area,with the improvement of OPTA thinning algorithm for thinning,
Platform: |
Size: 427008 |
Author:赖晓燕 |
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Description: 通过使用Insight Toolkit（ITK）toolbar来进行区域生长和图像分割压缩包里附带调用的ITK组件-By using the Insight Toolkit (ITK) toolbar for region growing image segmentation and compression bag attached components of ITK Platform: |
Size: 193536 |
Author:fantisst |
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Description: mean shift进行图像分割的matlab代码 非常好用 可直接对灰度或者彩色图像进行分割-matlab code for image segmentation by mean shift Platform: |
Size: 114688 |
Author:蔡利君 |
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Description: 使用matlab实现智能预测控制算法，中介真值程度度量，基于中介真值程度度量的图像分割通过matlab代码。- Use matlab intelligent predictive control algorithm, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation By matlab code. Platform: |
Size: 7168 |
Author:王晓斌 |
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Description: Contour Detection and Hierarchical Image Segmentation (UC Berkeley)
MATLAB/C++混编
Arbela?ez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 898–916. https://doi.org/10.1109/TPAMI.2010.161(This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks. Our contour detector combines multiple local cues into a globalization framework based on spectral clustering. Our segmentation algorithm consists of generic machinery for transforming the output of any contour detector into a hierarchical region tree. In this manner, we reduce the problem of image segmentation to that of contour detection. Extensive experimental evaluation demonstrates that both our contour detection and segmentation methods significantly outperform competing algorithms. The automatically generated hierarchical segmentations can be interactively refined by user-specified annotations. Computation at multiple image resolutions provides a means of coupling our system to recognition applications.) Platform: |
Size: 30558208 |
Author:aa11285
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Description: 使用巴特沃斯高通滤波器实现图像锐化，用sobel算子实现图像分割，阈值分割图像(Using the Butterworth high pass filter to achieve image sharpening, the image segmentation is realized by Sobel operator and the threshold image is segmented.) Platform: |
Size: 2048 |
Author:599ygmm
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Description: 本文主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。
该课题为基于MATLAB的指纹识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统指纹识别不易得到高分，基本都是对指纹进行处理，而没有比对两者指纹是不是同一个人，轻易被导师被否决。因此建议做成两个指纹进行比对，输出结果，以文字和声音方式播报结果。整个设计在一个GUI界面上完成。(This paper mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing fingerprint image, the redundant part of the original image is removed to facilitate the subsequent recognition processing; feature extraction is mainly to extract the endpoint and bifurcation points after thinning fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images Whether it comes from the same finger.) Platform: |
Size: 2781184 |
Author:王春水 |
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Description: 本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.) Platform: |
Size: 3682304 |
Author:可乐一生 |
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Search - image segmentation by matlab