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chp8
第8章 图象的检测及模板匹配
图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)
- 2008-04-12 19:32:03下载
- 积分：1
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liangduzhengjia
注意：本程序中，每点击一次“增加亮度”，图像灰度提升16；每点击一次“降低亮度”，图像灰度降低16。(Note : This procedure, every click an "increase in brightness," gray upgrade 16; Click on each of a "lower brightness," gray lower 16.)
- 2006-12-05 09:50:59下载
- 积分：1
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opencv-sift
图像匹配，可以实现目标图像的匹配，匹配出最相似的训练图片。(Image matching, the matching can achieve the target image, matching the most similar training images.)
- 2013-06-08 16:46:48下载
- 积分：1
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LMD
自己编写的数字图像处理程序，包括打开bmp图像，直方图，阈值分割，形态学处理等功能。(digital image processing procedures, including open bmp image, histogram, threshold segmentation, morphological processing and other functions.)
- 2013-11-14 22:17:45下载
- 积分：1
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kz
说明： fluent udf dpm particle diamter
- 2011-04-09 02:54:56下载
- 积分：1
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m
说明： 用Visual C++实现模糊图像恢复处理程序实例(Using Visual C++ fuzzy image restoration processing examples)
- 2009-10-17 20:48:58下载
- 积分：1
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DE
说明：
最简单的差分格式有向前、向后和中心3种。
向前差分：f (n)=f(n+1)-f(n)
向后差分：f (n)=f(n)-f(n-1)
中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers.
Forward differencing: f (n) = f (n+ 1)-f (n)
Backward difference: f (n) = f (n)-f (n-1)
Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)
- 2016-05-17 21:08:01下载
- 积分：1
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d3dle5
说明： 计算机图形学中应用VC++6.0和DirectX 8.0 SDK制作彩色旋转的金字塔和正方体的小程序(computer graphics application VC 6.0 and DirectX 8.0 SDK produced color rotating cube pyramid and the small program)
- 2005-12-14 13:49:08下载
- 积分：1
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24bit8
基于VC++的BMP图像——24位转8位 (Turn based BMP images in VC++- 24 8)
- 2013-04-14 20:47:53下载
- 积分：1
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snaketest
snake算法的c源代码,一般snake算法可以用于图像的边缘检测,是一种比较新的方法(snake algorithm c source code, the general snake algorithm can be used to image edge detection, is a relatively new approach)
- 2008-06-02 11:34:44下载
- 积分：1
