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离散等高线数据三角形网格分形
- 这是我自己参考大量的科研论文自己编制的离散高程数据(x,y,h)的三角形网格化源代码能够根据指定离散数据文件自动绘制出三角形网格，并且源代码已经实现了等值点的追踪，大家少加修改，加入拟和算法就可以绘制出等值线，源代码完全采用面向对象的方法编制，对于delphi新手学习面向对象的方法也有很大帮助。编译环境为delphi7操作系统为win2003。大家如果对源代码有何建议请联系我 QQ:58092190,email:seekmzy@gmail.com-This is my reference to
ImageEnhancement
- 程序描述了一种图像增强的算法，可提取物体轮廓。-describes a process image enhancement algorithms, object contours can be extracted.
objectadumbration
- 用最流行的图像处理工具OPENCV，求取运动物体轮廓。效果明显。-most popular image processing tools OPENCV strike movement object contours. Obviously.
gaijinfensuilin
- 改进的分水岭算法，能够较好地提取对象轮廓、准确得到物体边界的优点。在MATLAB6.5下顺利编译通过-improve the watershed algorithm can be used to extract object contours, to be precise object boundary advantages. In MATLAB6.5 smoothly through the compiler
neijie
- 图像处理程序，求出物体轮廓，计算最大正内接矩形-image processing, object contours obtained calculation is the largest internal Rectangular
Snakes_Active_Contour_models_Image_Process_GVF
- 图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章，文章列表为： [1]Snakes Active Contour Models.pdf [2]Multiscale Active Contours.pdf [3]Snakes, shapes, and gradient vector flow.pdf [4]Motion of level sets by mean curvature I.pdf [5]Spectral S
Image_Paper_XuXG
- 图象分割是图象处理中的一项重要工作，目前手工与自动相结合的分割方法在实际工作中得到了广泛应用。本文根据图象经Maar变换后的特征，采用新的判断准则，提出了一种复杂物体边缘定位算法，可以对具有尖角特征的物体轮廓进行快速准确地提取，同时利用矢量化方法消除毛刺，使跟踪获得的边界更符合物体的实际轮廓特征。对多种图象的实验表明本文方法十分有效。-Image segmentation is an important image processing, the current combination of m
camertocar
- 使用NI的视觉包,检测物体轮廓.生成运动数据.-Use NI vision package, test object contours. Generate the motion data.
ASM_version1b
- ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 -Descr iption This is an example of the basic Active Shape Model (ASM) as introduced by Coot
GetContour
- 用于物体目标轮廓的提取与跟踪，能更好的识别出物体轮廓。-Target contour for object extraction and tracking, to better identify the contours of objects.
lysnake
- 提出了一种自适应的Snake 算法,对于初始包络上的每一点,按照Greedy 算法中的能量公式计算其邻域内各点的能 量. 如果邻域不包含目标的轮廓,则将邻域半径加大,再次计算邻域内各点的能量,直到邻域内包含轮廓点为止. 该算法只需迭 代一次即可得到目标轮廓,而且增大了初始包络的收敛半径,并能够有效处理较高曲率凸形边缘的情况. 对比实验说明了这种 方法的有效性.-Snake proposed an adaptive algorithm, the initial envelope for
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- 提出一种基于单目CCD摄像机反求系统的三维数据的获取方法，首先对单目CCD摄像机拍摄的单幅图像进行滤波、细化等手段处理得到单像素宽度的激光条纹，然后建立激光条纹上的像素点与空间上的三维点之间一一对应的函数映射，获取物体的外轮廓信息。-Proposes a single-purpose reverse CCD camera system of three-dimensional data acquisition method, first monocular CCD camera captured
asd
- 用FTP法采集折叠相位,用来还原被测物体的三维轮廓，-Folding phase acquisition using FTP method，Used to restore the three-dimensional contours of the measured object,
IJIGSP-V3-N3-2
- Active contours or \snakes" can be used to segment objects automatically. The basic idea is the evolution of a curve, or curves subject to constraints from the input data. The curve should evolve until its boundary segments the object of intere
L03_ACondratovici
- Active contours or \snakes" can be used to segment objects automatically. The basic idea is the evolution of a curve, or curves subject to constraints from the input data. The curve should evolve until its boundary segments the object of intere
jcssp.2010.67.74
- Active contours or \snakes" can be used to segment objects automatically. The basic idea is the evolution of a curve, or curves subject to constraints from the input data. The curve should evolve until its boundary segments the object of intere
12_01_0079_0085_2
- Active contours or \snakes" can be used to segment objects automatically. The basic idea is the evolution of a curve, or curves subject to constraints from the input data. The curve should evolve until its boundary segments the object of intere
trace
- 用vc++实现图片中物体轮廓跟踪，有较好实现效果，附图片实例，以及支持再次编辑和编译-Achieved with vc++ track object contours in the picture, there are better achieve the effect, with pictures instance, as well as support editing and compiling again
edge2
- 轮廓检出 复杂背景下的物体轮廓检出。利用opencv函数将所有轮廓抽出后根据面积取最大轮廓抽出-Contour detection of object contours detection in complex backgrounds. Using opencv function will take out all the contours of the maximum contour extraction based on area
patch-inpainting-master
- A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has been addressed by two classes of algorithms: (i) “