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LiaoThreshold
OTSU图像分割快速算法。原创,附参考文献。(a faster version of Otsu s method)
- 2009-03-16 23:18:48下载
- 积分:1
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10
说明: 在IDL中将.nc格式的数据读取并绘图,文件夹中附有示例数据。(Reading and drawing data in.Nc format in IDL)
- 2018-01-14 18:00:51下载
- 积分:1
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Diff-rankboost
Diff-rankboost算法,代码功能是产生图片美学质量之间相互的排名差距,便于进一步的进行训练和测试(Diff-rankboost algorithm, code function is to produce the ranking of mutual aesthetic gap between picture quality, ease of further training and testing)
- 2014-03-17 11:35:11下载
- 积分:1
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不规则图形的填充
说明: 用VC开发的图形填充算法,简单实用,
希望对你的图形开发有所帮助,
如果有什么问题,可以与我联系(development of the VC graphics filling algorithm, simple and practical, and I hope to your graphics development will help, if any, can contact me)
- 2005-11-29 15:22:20下载
- 积分:1
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眼睛鼻子嘴识别
图像处理-人脸识别技术:识别出图像中人物的五官形态,从而达到识别人脸的目的。(Image Processing-Face Recognition Technology)
- 2020-06-23 11:00:02下载
- 积分:1
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zuidashang
说明: 最大熵是图像阈值分割里常用的一种简单且效果明显的方法。该代码是最大熵算法的快速递推形式。(Maximum Entropy is Image Threshold Segmentation ri common a simple and obvious effect method. The code is maximum entropy algorithm rapid recursion forms.)
- 2021-01-05 21:18:54下载
- 积分:1
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myprogs
基于HIS空间的彩色烟雾图像分割算法,包含粗分,细分割与连通域提取(HIS color space based on image segmentation algorithm smoke contains coarse points, fine segmentation and connected domain extraction)
- 2008-12-13 11:23:33下载
- 积分:1
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PicTool
C++Builder编写的图象处理程序(带示例)(C++ Builder prepared image processing procedures (with examples))
- 2008-06-19 21:45:52下载
- 积分:1
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haar_adaboost_vehicle_detection
说明: 基于Haar+AdaBoost+bdd100k数据集做车辆识别(Vehicle recognition based on Haar + AdaBoost + bdd100k dataset)
- 2020-11-02 14:12:20下载
- 积分:1
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Edge-Thinning
Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
- 2016-09-13 22:05:34下载
- 积分:1