搜索资源列表
imagemagic
- demo目录: fvs_enhancer:指纹增强程序,描述了如何使用该库增强指纹图像。原图像和目标图 像都是位图。 fvs_direction:描述了如何提取方向图。输入图像必须是归一化的图像,这样才能 有较好的效果。输出图像覆盖于输入图像之上。 fvs_createtestimages:该程序用来产生调试过程中可能会用到的一些位图图像,这 些图像是不同角度和不同间隔的条纹。产生图像的文件名命名方式如下: testimgSSSDDD.bmp 其中
downhill-filter
- 通过滤波对图像进行增强处理,用VC实现,通过编译可以运行.
shiyan
- 数字图像处理的图像锐化、增强、旋转、放缩
histeq.rar
- 此程序实现图象增强的功能,采用直方图均衡化的方法来实现图像增强。,This procedure realize the function of image enhancement using histogram equalization method to achieve image enhancement.
ruihua.rar
- matlab图像增强包括直方均衡,平滑,锐化,具体实现源代码,matlab image enhancement, including straight side balanced, smooth, sharpen, the specific implementation source code
basic-image-processing
- 该代码为图像处理基本代码,包含了图像增强,分割,检测等基本操作-The code for the image processing basic code, contains the image enhancement, division, testing and other basic operation
fingerprint_test
- 实现指纹图像的增强,分割以及细化。可运行-realize fingerprint image enhancement, segmentation and thinning.
VCPP
- 图像增强处理系统的开发源代码,包含灰度增强,平滑和锐化-Image enhancement processing system open source, contains gray-scale enhancement, smoothing and sharpening
finger(-C)
- 指纹图像增强、求方向图、二值化、细化、特征提取、特征匹配等算法 的c语言源程序,还有实例演示,本人千辛万苦才找来的, 提供给大家分享。 -Fingerprint image enhancement, seeking direction map, binarization, thinning, feature extraction, feature matching algorithm c language source code, as well as examples of pre
remoate-sensing-matching-palt
- 用于遥感影像的配准,可以进行几何校正、图像增强然后进行图像配准。-Registration for remote sensing images, can be geometric correction, image enhancement and image registration.
gamma
- C语言查表法实现图像处理算法中伽马校正图像增强-C language look up table method to achieve image processing algorithm gamma correction image enhancement
geatures
- 对图像进行小波变换,功能:高通滤波,低通滤波,图像复原,增强,融合!-Wavelet transform for image features: high pass filtering, low-pass filtering, image restoration, enhancement, fusion!
lhejwv
- 学习二进小波变换用于图像增强,很好的例子,可以实现非线性增强,(Learning binary wavelet transform for image enhancement, good example, can realize the nonlinear enhancement,)
lamey
- 自适应区域直方图均衡,用于图像增强,适用于超声图像(Adaptive area histogram equalization, used for image enhancement, applicable Yu Chaosheng images)