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adjacewky
- 包含了对图形进行标识物体测量面积周长和阈值分割和轮廓提取的程序-Contains the graphics object identified measuring area of pupil threshold segmentation and contour extraction process
dottrack
- 物体特征点提取算法以及特征点的跟踪算法,在VS2015上可直接运行。-Object feature point extraction algorithm and feature point tracking algorithm
Pose Measurement
- This paper proposes a suite of methods to realize high precision pose measurement in 3-D Cartesian space based on a multicamera microscopic vision system. Since it is inefficient to develop a specific image algorithm for each kind of object and t
HOGCompute
- 根据2005年Dalal提出HOG特征计算原理，自己编写了HOG特征提取算法，此特征可以用于目标检测中，包括行人检测，采用编程语言为C++，采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This feature can be used in object
颜色特征
- matlab颜色特征提取，利用matlab软件实现对图片中目标对象的颜色特征值的提取(matlab colour Matlab color feature extraction, the use of MATLAB software to achieve the picture of the target object color feature extraction)
opncv
- 动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
Version 1.0
- 这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervisi
Colorhist_Libsvm_dem
- 随着科学技术的飞速发展，机器学习与人工智能技术的不断创新，人们对特定信息检索的需求逐渐增加，使得如何对资源进行合理有效的分类成为一个关键问题。近几年来，基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面，大多采用有监督学习方法，通过对底层特征建模和中间语义分析来实现分类。 本文基于Libsvm的图像分类研究及实现，主要针对的是物体分类这一方面，选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本（主要从Web上获取）、图像预处理（如截成大小一致
代码 特征点匹配目标提取
- 利用OpenCV以及vc++实现对物体特征点匹配目标的提取，(Using OpenCV and vc++ to achieve object feature point matching target extraction,)
Fetex2
- this code not write with me. but very usefull for texter analisisfolder the software fetex2.0.saf vile, to perform feature extraction software tool for object-based image analysis. However, when opening the tool and trying to upload an image this pro
CONCLUSION
- object classification using recognized scene text in natural images. While the state-of-the-art relies on visual cues only, this paper is the first work which proposes to combine textual and visual cues. Another novelty is the textual cue extraction.
细化算法
- 细化算法，对图像转化二值图像后，对高亮部分细化之几个像素，适用于道路提取，某物体骨架提取，线路提取等领域(After the image is transformed to two value images, a few pixels of the highlighting part are applied to the extraction of road, the extraction of an object skeleton, the extraction of line and so
图像与视频处理
- 提取物体的特征，效果特别好！利于以后的目标识别与跟踪(Extraction of the characteristics of the object, the effect is particularly good!)
canny
- 基于canny算法的物体边缘提取，可用于提取质心及提取物体尺寸。(Object edge extraction based on Canny algorithm.)