搜索资源列表
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
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.
23
- 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
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
xcldefogging1
- 这是一种彩色图像去雾算法，可以识别物体的轮廓，但是同时也会加强这些轮廓，虽然去雾效果不错，但是会加强轮廓！-This is a color image to fog algorithm can identify the contours of the object, but will also enhance the outlines, although to fog effect is good, but will strengthen the profile!
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,
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
BMS-mex
- 一个基于布尔图的显著性检测模型这个模型利用了全局拓扑测度，这一拓扑测度已经被证明了有助于感知的图形-背景分割。如格式塔心理学研究表明，如下因素很可能会影响图形-背景分割：大小，surroundedness，convexity, symmtry。本文研究surroundedness cue在显著性检测中的应用。 surroundedness的本质是图形和背景之间的enclosure topological relationship，能够被很好地定义，并且对不同的变化具有不变性（不懂）。 为了衡量s
Easily-change-background2.1
- 软件介绍 图像合成最困难和最费时的操作是抠图，轻松换背景就是针对这一应用瓶颈而开发的。软件提供单色幕(蓝幕)法和内外轮廓法两种高级自动/半自动抠图办法，在技术手段的帮助下，不但普通用户通过快速训练即可掌握和学习图像合成工作，而且抠图速度和质量都大大提高。软件不但可以处理普通物体轮廓，还支持半透明轮廓和阴影的抠图，特别是复杂的毛发边缘抠图。同时软件提供了图像合成所需的完整环境，无需其它昂贵软件平台即可独立运行。 -Software Th
Three
- 三角化程序实例，可以将散点坐标拼接起来，得到物体表面的三维轮廓-Triangulation process instance, scatter coordinates can be pieced together, get three-dimensional contours on the surface of the object