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识别物体modify
- 统计灰度图象二值化后不连通区域的像素树木和中心位置-statistical gray image after two values not connected region trees and the pixel center
45623541
- 数字图像处理源码,vc写的，包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶 包括源代码、3篇文档和可执行程序 -digital image processing source code, written by the vc, including sharpening, smoothing, LOG filter from the brink of mathematical morphology corrosion, swelling, ske
数字图像处理源码
- 包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶 包括源代码、3篇文档和可执行程序 下载地址： 数字图像处理源码 -including sharpening, smoothing, edge extraction LOG filter of mathematical morphology of corrosion, swelling, skeleton, opening and closing operations a
log123
- 包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶-including sharpening, smooth, LOG filter from the brink of mathematical morphology corrosion, swelling, skeleton, and the opening and closing operation fractal approach painting trees and leaves
fenxing
- 分形学源码，很多。树木仿射变换、花的放射变换-Fractal source, a lot. Affine transformation of trees, flowers radiology transform
mCh22
- matlab图像处理 ，减少颜色数目后的trees图像，抖动前后的效果图像，转换为YCbCr格式后的图像效果，转换为HSV颜色空间后的效果-matlab image processing, color reduction of the number of trees after the image effects of jitter before and after images, converted to YCbCr format image effects, converted to HSV
stretch
- Write your own code to linearly stretch the gray scale on "trees.tif" so that the image will have a better contrast than in the original image. Try histogram equalization for the same image.
ImageRetrieval
- 毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件-Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix,
An_Image_Compression_Algorithm_for_Circle_Shaped_R
- 研究了圆形感兴趣区域, 推导了相应的掩码计算公式, 将多级树集合分裂算法(Set partitioning in hierarchical trees, SPIHT) 加以改进, 得到适用于圆形感兴趣区域的图像压缩算法. 实验结果表明, 本文提出的圆形感兴趣区域掩码计算公式简单实用, 改进后的压缩算法效果明显.-Of the circular region of interest, the corresponding mask derived formula, the set partition
General-graph-matching
- ACM竞赛中 一般图的最大匹配 带花树-ACM contest the general graph maximum matching with trees and flowers. . . .
seg
- image segmentation(quad trees)
Log
- 数字图像处理程序集： 包括锐化、平滑、LOG滤波器提取边缘，数学形态学的腐蚀、膨胀、骨架化、开闭运算，以及分形方法画树木和树叶。包括VC++源代码、LOG滤波器提取边缘.doc、用形态学方法提取骨架线实验报告.doc、由明暗度提取外形信息.doc 3篇文档和可执行程序。-Digital image processing assembly: including sharpening, smoothing, LOG filter from the edge of mathematical mo
IFS
- 采用计算机生成图形图像，可以用少量的数据生成复杂的自然景物图像，例如起伏的山脉、飘浮的云彩、形态各异的植物等自然界中的各种景观。它极大地丰富了计算机图形学的内容，而且促进了计算机在仿真模拟领域的应用。根据分形迭代函数系统具有模拟自然界景物的特点，采用面向对象的编程语言VC++实现了一类模拟山树等景物的计算机编程，模拟效果十分逼真。-The use of computer-generated graphic images, you can use a small amount of data to
vgg_kdtree2
- kdtree的实现，用来图像检索，检索出与某一副图像中某特征相似度由高到低的n副图像-image patch data stored in k-d trees for fast and discriminatory image patch searches.the implemention of kdtrees
ass2
- 利用随机数画出几棵彩色的树附带动画效果的简单实例-Random number draw trees color tree comes with a simple example of animation
digital-image-processing
- 几何学研究的对象是客观世界中物体的形状。传统欧氏几何学的研究对象，都是规则并且光滑的，比如：直线、曲线、曲面等。但客观世界中物体的形状，并不完全具有规则光滑等性质，因此只能近似当作欧氏几何的对象，比如：将凹凸不平的地球表面近似为椭球面。虽然多数情况下通过这样的近似处理后，能够得到符合实际情况的结果，但是对于极不规则的形态，比如：云朵、烟雾、树木等，传统的几何学就无能为力了。 如何描述这些复杂的自然形态？如何分析其内在的机理？这些就是分形几何学所面对和解决的问题。 -The study o
hafuman1
- hafuman编码的一个源程序，可以运行。运行时输入节点数、输入各点权值即可得到哈弗曼树的构造过程-hafuman encoding a source, you can run. Runtime input nodes, enter the weight value of each point can be obtained during the construction of Huffman trees
qvariabledeclaration
- Takes two DynamicContext instances, and redirects the storage of temporary trees to one of them for Linux.
Apples-occlusion-method-
- 为实现受果树枝叶遮挡、果实间相互遮挡的果实目标识别，该文提出了一种基于凸壳理论的遮挡苹果目 标识别方法。-To achieve obscured by the foliage of fruit trees, fruit fruit mutual occlusion between target identification, the paper proposes blocking Apple target recognition method based on convex hull the
k-means
- 利用k-means方法对图像进行分类（matlab程序和c++程序），如对遥感图像分辨出河流、树木等，需要自己定义所处理图片位置，还有将分类的图片进行彩色区分-The use of k-means method for image classification (matlab program and c++ program), such as remote sensing images to distinguish rivers, trees, etc., need to define the