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Image-Segmentation-Method
本文主要研究基于水平集方法的活动轮廓模型图像分割，在回顾活动轮廓模
型发展的基础上，介绍了曲线演化理论及其水平集方法，证明了水平集方法可以
有稳定的数值实现方式且其处理拓扑变化的自然性，进一步引出了变分水平集方
法。
本文介绍了两种不同的几何活动轮廓模型：基于梯度信息的李纯明模型以及
基于区域信息的 Chan-Vese 模型（C-V 模型）。在分析上述两模型的优缺点上，提
出了一种改进的 C-V 模型，改进模型引入了距离约束项，同时对基于区域的外部
能量项进行了改进，使得水平集函数重新初始化寓于模型的演化之中，分割结果
对参数的依赖性减小。
(This paper mainly study image segmentation of active contour model based on
level set. After reviewing the development of the active contour model, curve evolution
and level set method are presented, then we proved that the level set method has a stable
numerical realization and can describe the topology change of the contour naturally, in
addition we introduce level set of variational method.
We introduce two different GAC models in this paper: Li Chunming model which
is based on gradient information and Chan-Vese model （C-V model） which is based
on region information. Based on the drawbacks and advantages of these two models, we
improve the C-V model by adding penalizing energy term of signed distance function,
at the same time, mending the external energy term which based on region information,
then the re-initialization of the level set can accomplish in the model evolution, and the
degree of the segmentation result depend on the parameters decline.
)
- 2011-12-20 20:27:30下载
- 积分：1
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SIFT
C语言下实现SIFT算法
用于图像特征匹配(C-achieve SIFT algorithm for image feature matching)
- 2010-01-11 21:03:03下载
- 积分：1
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SSDA
利用SSDA算法实现模板匹配的功能，该算法可快速有效地完成图像的匹配。(SSDA algorithm on template matching function, the algorithm can quickly and efficiently complete image matching.)
- 2012-09-19 11:30:57下载
- 积分：1
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hucai
水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)
- 2019-06-19 18:27:49下载
- 积分：1
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2DFFT-IFFT
这是我做的一个二维傅里叶变换的程序，可以对图像进行2DFFT变换得到频谱图，并利用2DIFFT得到原图像(I do a two-dimensional Fourier transform procedure, 2DFFT transform spectrogram image and utilize 2DIFFT original image)
- 2012-12-01 15:56:14下载
- 积分：1
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masksample
sample illust back image2 mask sample
- 2013-11-13 01:14:35下载
- 积分：1
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ISODATA
ISODATA算法是在k-均值算法的基础上，增加对聚类结果的“合并”和“分裂”两个操作，并设定算法运行控制参数的一种聚类算法,从而实现遥感影像的非监督分类(ISODATA algorithm is a clustering algorithm based on K-means algorithm, which adds two operations of "merging" and "splitting" of clustering results, and sets the operation control parameters of the algorithm, so as to realize unsupervised classification of remote sensing images.)
- 2018-11-22 18:07:41下载
- 积分：1
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DelphiExcelSDK
说明： 一个Excel二次开发SDK接口类附代码。(An Excel secondary development SDK interface class with code)
- 2020-07-05 17:43:35下载
- 积分：1
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最小二乘法估计仿射矩阵
目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimated by the least squares method to the affine matrix can greatly improve the efficiency, so give yourself in laboratory to write the estimated affine matrix function, to compensate for the lack of MATLAB Library in this area.)
- 2018-02-01 17:11:33下载
- 积分：1
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ISAR-Imaging-With-MATLAB-Algorithms
这本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，这是一种流行和重要的雷达信号处理工具。本书涵盖了所有可能的ISAR成像方面。这本书提供了一个介绍了专家组的逆问题和合成孔径雷达（SAR）提出的问题之前，信号处理技术和雷达基本相当。如高分辨率SAR的重要概念，脉冲压缩和图像形成连同相关的MATLAB代码。 ISAR成像的基本原理后，这本书提供了相关的MATLAB函数和代码成像ISAR成像的详细程序。 ISAR成像，多个成像技巧和微调，如零填充和窗口程序，以提高图像的质量也被提出。最后，逆合成孔径雷达图像中的各种实际应用，如成像天线平台散射的，是在单独的一章。所有这些算法，MATLAB代码和数字都包括在内。最后一章考虑了在ISAR成像的先进理念和发展趋势。(This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLA)
- 2012-04-15 11:05:10下载
- 积分：1
