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CBIRsystem
- 介绍了一个基于特征的图象查询和检索系统.该系统由查询模块、特征提取和描述模块、匹配模块、图象显示模块和图象库管理模块组成.系统既支持基于颜色、纹理、形状的单一特征查询,也支持结合不同特征的更符合视觉要求的综合特征查询.该系统已结合实际图象库进行了查询和检索实验,文中给出一些实际检索结果. -Describes a feature-based image query and retrieval system. The system consists of query module, featu
comparision_of_colour_texture_features
- comparisions of texture and colour features for image retrival
CBIR-FOR-ENDOSCOPIC-IMAGES
- Content-based medical image retrieval is now getting more and more attention in the world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently required. Methods: Based on the study of single feature image retr
donghua
- 首先对wrl格式的对个文件进去读取，然后实现了插值动画，实现了opengl的光照，纹理等功能，最终呈现的是一个模特在T台上行走。文件包含实现功能的WRLREAD文件和wrl格式的源文件。-First, the format of wrl files into reading, then realized the animation interpolation to achieve the opengl light, texture and other functions, the final m
fire
- 功能：用OPENGL实现火焰动态纹理的合成-Features: dynamic texture with OPENGL to achieve the synthesis of the flame
cvgabor
- 这里包含高质量的Gabor实现代码，基于OpenCV。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Gabor included here to achieve high-quality code, based on OpenCV. Gabor transform can be achieved in multiple scales, multiple orientations of the transform
wrl_viewer
- 三位地形动态显示，采用OpenGL对地形数据进行重建，并根据高程进行着色，实现了光照、纹理等功能。-Three terrain dynamic display, the use of OpenGL reconstruction of terrain data, and elevation are colored according to realize the light, texture and other features.
baidu-V4.2
- (注意：！！！）软件不断更新中，请关注我们网站：www.cnyou.cn版本更新状态。 有任何使用上的问题请即时与我们联系QQ：331552952。在下载使用前请先上我们网要的.net运行库。才可正常使用本软件。 百度贴手是一款在目前热门的百度贴吧专门发贴/顶贴/群发/的一款软件。界面简单，操作方便。有无电脑基础者看了就可以熟练使用。 可登陆注册ID也可直接可用匿名登陆，自动识别最新更新的验证码，并不断升级，如百度升级验证码，我们会第一时间升级软件更新下载。 可
OpenGL
- OpenGL图形系统是一个软件接口，让程序员能够创建交互式程序，使用计算机图形学技术生成具有真实感的图像。本书是OpenGL ARB推荐的OpenGL 1.4版学习指南。 本书首先阐述OpenGL的功能和计算机图形学基本知识，包括状态管理和几何体的绘制、模型变换、视点变换和投影变换、颜色和光照；然后深入探讨一些高级技术，包括反走样、混合、雾效、显示列表、图像处理、纹理映射、帧缓存、网格化、NURBS、选择和反馈等；同时讨论其他一些重要主题，像如何提高程序的性能、OpenGL扩展和跨平台技
aTest
- 在图像的形状、颜色、纹理等特征中，颜色特征是最显著、最可靠、最稳定的视觉特征，是人识别图像的主要感知特征.-In the image of the shape, color, texture and other features, the color features are the most significant, most reliable and stable visual features, is the perception of people identify the main f
Gray-symbiotic-matrix
- 灰度共生矩阵和纹理分析功能，能很好的对SAR图像进行分析和提取目标地物。-Gray symbiotic matrix and texture analysis function, can be a very good image of SAR analysis and extraction target features.
GaborFeature
- Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。-Gabor transform is windowed Fourier transform, Gabor functions in the frequency domain at different scales and different directions to extract relevant features
05
- 基于LiDAR高度纹理和神经网络的地物分类.LiDAR height based on texture and neural network classification of surface features.-LiDAR height based on texture and neural network classification of surface features.
Gabor
- 基于opencv1.0实现的二维Gabor滤波器， Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。-Based on two-dimensional Gabor filter realization opencv1.0, Gabor transform is windowed Fourier transform, Gabor functions in the fr
wenlituxiangtezhengtiqu
- 灰度共生矩阵反映了图像灰度关于方向、相邻间隔、变化幅度的综合信息，它可作为分析图像基元和排列结构的信息。作为纹理分析的特征量，往往不是直接应用计算的灰度共生矩阵，而是在灰度共生矩阵的基础上再提取纹理特征量。该段代码是对纹理特征的提取。-Gray symbiotic matrix reflects the image grey about the direction, and adjacent interval, change the amplitude of the comprehensive
Gdaltest
- gdal 的测试程序。gdal是通用的图形图象库，广泛用于地理方面，功能强大。-Content-based image search. Based on color, texture, shape and other features to search, search for the development of some help
colorhist
- 颜色是图像最为重要的视觉内容之一，相对其他的物理特征，例如纹理、形状，颜色特征比较容易获得-Color is the most important image visual content, one of the relative to other physical characteristics, such as texture, shape, color features are more likely to win
Earth
- A small (code-wise) demo that features earth, with night and day texture maps, atmospheric effects, an orbiting moon, the sun, a stars background and optional constellation lines. The only technical part lies with the atmospheric effect, whi
Coins-classification-method
- Abstract— In this paper we describe a method for fast and reliable coin classification using coin images taken in various conditions by different people and a possible solution when dealing with illumination inconsistencies. It relies on edge b
gaborfil
- 利用Gabor滤波器进行特征提取，在信号与图像处理领域有着广泛的应用。参考文献“Efficient Computation of Gabor Features”-Gabor fi lter responses are widely and successfully used as general purpose features in many computer vision tasks, such as in texture segmentation, face detection