搜索资源列表
eye_location
- 人眼定位模块,运用灰度投影,模板匹配,在人脸图像中定位人眼-eye location module, using gray projection, template match, locate eye position in human face
ourdev_635737G1JR61_WIN7
- 实习图像轮廓的匹配,模板匹配,图像配准,能实现两幅图像的匹配-Practice match the image outline, template matching, image registration, to achieve the matching of two images
DataHash_20130330
- a template as binary edge image the function finds the object that match the template in the image. The orientation of the object can be different that of the template. Scanning is done by rotating the template and matching it to the image in various
lsmin
- Basically template match with rotation. Given a template as binary edge image the function find the object that match the template in the image. This work even if the template and object are in different orientations. The matching is done by rotating
shou
- 一种手势识别的方法, 可以通过摄像头采集数据,然后和保存的模版对比,达到识别的效果,但摄像头实时采集,因电脑而异,需要稍微改动。-A gesture recognition method, data can be collected through the camera, and then match the template , to identify the effect, but the camera real-time acquisition, due to computer-speci
pattern
- pattern.c: Implemetation of the template match compilation and lookup.
templateMatching
- 使用模板匹配算法实现图像的匹配,可以为图像的匹配也可以用作边缘的匹配确定边缘的位置-Position using a template matching algorithm matching images, which can be matched images can also be used to determine the edge of the edge of the match
SSDA
- SSDA算法,实现模板匹配,并有时频域匹配的例子-Examples SSDA algorithm, template matching, and sometimes match the frequency domain
Massively-Parallel-Approach-to-Pattern-Recognitio
- Template matching is concerned with measuring the similarity between patterns of two objects. This paper proposes a massively parallel approach to pattern recognition with a large template set. A class of image recognition problems inherently
my-project
- For the detection of sign each frame is analysed. First the image is Converted into gray scale image and then threshold is performed. Then by using blob analysis portion of red part is extracted. Then this extracted part is compared with each t
theme-v0.3.0
- PHP扩展Theme2.0 是根据Tinysupe的模板引擎开发的,该版本在Windows平台上还有一些BUG存在,欢迎各个Tinysupe的爱好者下载测试。 在源码包中包含了部分已经生成好的PHP扩展(theme.so 和 php_theme.dll),在精简包中只包含了已经生成好的PHP扩展,如果和PHP的版本不匹配请下载源码包生成。-PHP expansion Theme2.0 is based on the Tinysupe template engine development,
baidugoogle
- 本程序聚合了百度和谷歌搜索结果的搜索小偷,并且过滤了重复域名,模板漂亮整洁,经过多天的测试和改进,已经使两个搜索引擎很好的结合在一起,目前已经没有发现匹配出错情况了。-This program aggregates Baidu and Google search results thieves, and filter the duplicate domain name, the template pretty neat, after several days of testing and imp
T_11
- 1.编写程序,完成灰度分段线性变换。如下图所示,输入两个点的坐标完成对图像的分段线性对比度拉伸。 2. 学习使用histeq函数,完成 ①对’lena.bmp‘的直方图均衡化; ②以’cameraman.tif’的直方图为模板,将’lena.bmp’做直方图匹配。 3. 不使用histeq函数,自己编写程序完成直方图均衡化,并显示直方图均衡化前后的图像以及其直方图。 4. 不使用histeq函数,自己编写程序完成直方图匹配,显示匹配前后的图像、模板直方
CMatch
- 轮廓匹配,基于给定模板,可以在一定复杂环境下实现对目标的检测,对于一定程度的放大、缩小、平移、旋转都具有良好的检测效果-Contour matching. Based on template image, object in a certain complex environment with a certain degree of amplification, reduction, translation and rotation could be match in high accura
sad
- SAD算法的使用,可以准确匹配图像,待测图像和模板图像的匹配,换一下路径可以使用(SAD algorithm, you can accurately match the image, the image to be tested and template matching, change the path can be used)
jfinal-3.1-手册
- JFinal 3.1 针对 3.0 版推出的魔板引擎进行了深度打磨,例如魔板 parse 异常提示更加友好明确,消除指令嵌套时多出来的一个换行符,对于模板 isModified() 逻辑进行了重构,消除冗余代码,可读性更好。(JFinal 3.1 for the magic board engine version 3 launched the depth of grinding, such as the parse magic board abnormal more friendly and
模板匹配
- 自己用的模板匹配 ,自己拍个图片,把小的部分单独截出来(Match your own template, take a picture of yourself, and cut the small part out alone)
灰度模板匹配
- 将图像灰度化处理,进行模板匹配,结果显示相似度系数(Grayscale the image to match the template)