资源列表
color
- 很好用的根据车牌底色(蓝色)识别车牌位置的matlab算法,成功率较高。-Good use of background under the license plate (blue) to identify the location of the plate matlab algorithm, the success rate is higher.
gltexture
- vs2008+opengl 采用两张纹理图片(土地和围栏)建立三维图像。-vs2008+opengl two texture images (Land and fence) to create three-dimensional images.
7825678
- 采用Arcobject加VB开发的一套软件.可以实现_文本数据导入SDE,源码+文档+模型+注释-arcobject
Import
- 采用Arcobject 加VB开发的一套软件。可以实现:文本数据导入SDE,源码+文档+模型+注释- Uses Arcobject to add the VB development set of software. May realize: The text data inducts SDE, the source code + documents + model + annotation
local-segmentation-model
- 新发表论文:一种新的基于二值水平集和形态学的局部分割方法,附源码,欢迎下载。-Published papers: A new local segmentation method based on the binary level set and morphology, with a source, are welcome to download.
IEEEPowerFlwTestCases
- ieee各种节点图形,仅供参考。电力系统的分析和计算中,需要不同网络结构和参数。在应 用这些参数之前,收集和整理工作会花费大量的时间和精力。-ieee various node graph, for reference only. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters, the c
glew-1.7.0-win32
- OpenGL 扩展库,编写OpenGL2.0必备库-The OpenGL Extension Wrangler Library
ha_SWFText
- 文本动画编辑生成,精巧无敌!可以快速帮助您实现站内动态图片的制作!-Text animation editor generation, compact invincible! Can quickly help you to achieve dynamic picture of the production station!
GUI
- matlabGUI设计的一个简单的例子,实现的图像的阈值的自动调节,然后输出阈值化后的图像,-A simple example matlabGUI designed to automatically adjust the threshold to achieve an image, then the output image after thresholding,
9ab2aab6122a
- 图像处理特征提取图像识别检索等,希望对你有帮助-Image processing and feature extraction image recognition and retrieval, and hope to help you
bottom-up-visual-attention-model
- 基于显著性的视觉注意模型用于快速场景分析,效果不错。-Based on significant visual attention model for fast scene analysis, good results.
AutoUnsupervisedIimageClassification
- 无监督图像自动分类系统,我们在VC中做了一个基于聚类的图像分类方法,可以选择不同的图像特征,还有二个不同的显示方法。使用方法见“使用说明”。-Unsupervised image automatic classification system, we made a VC in the image classification method based on clustering, you can choose different image features, there are two dif
