Description:
#显示直方图；
#对图像进行指数或者对数变换；
#直方图均衡化；
#局部（ROI）均衡化，把均衡化后的局部图像显示到原图像；
#按照某种函数进行直方图匹配。-# Show the histogram # of images or the number of index change # histogram equalization # local (ROI) equalization to balance after a partial image display to the original image # in accordance with a histogram matching function . Platform: |
Size: 1024 |
Author:feng |
Hits:
Description: 可以对一幅图像提取边缘直方图，很有用的，用与图像匹配-Can extract the edge of an image histogram, useful, and image matching using Platform: |
Size: 5120 |
Author:dd |
Hits:
Description: A new concept of tracking ball has been applied of detecting the ball in one frame by finding centroid ball ,finding histogram of the ball region and correlating it with candidate s histogram (by scanning the complete image) in subsequent frames. Matching of histogram indicates presence of ball ,hence tracks it. Platform: |
Size: 2048 |
Author:Vishwanath |
Hits:
Description: 直方图匹配，或者叫做直方图规定化。在matlab下实现，但是没有使用IPT中的histeq进行规定化。-Histogram matching,or histogram specification is the basic method in the digit image processing. We provide a implementation in matlab without using IPT function histeq Platform: |
Size: 1024 |
Author:ray |
Hits:
Description: 自已的作业，编写一个基于GUI的图像处理程序/软件，实现功能有打开图像，直方图、直方图匹配、二值化，边界检测，旋转、放大、缩小、图像卷绕开闭处理等-Own work, write a GUI-based image processing program/software to achieve the functionality to open image, histogram, histogram matching, binarization, edge detection, rotation, zoom in, narrowing the image winding open and close processing
Platform: |
Size: 3474432 |
Author:eshing |
Hits:
Description: 1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。
3 SIFT算法的主要特点：
a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤：
1） 检测尺度空间极值点
2） 精确定位极值点
3） 为每个关键点指定方向参数
4） 关键点描述子的生成
本包内容为sift算法matlab源码-1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe Platform: |
Size: 2831360 |
Author:李青彦 |
Hits:
Description: 本文主要对当今热门的基于内容的图像检索技术进行了研究，重点对它的算法进行研究。在半年的时间里，通过查阅很多相关的资料，并认真学习了基于内容的图像检索的基本理论，特别是深入研究了颜色直方图理论和累加直方图算法，最后在MATLAB平台下编程实现此系统，该系统可以实现基本图像检索的功能，根据用户输入的样本图像来与图像库中的图像进行特征匹配，然后找出与样本图像距离比较小的若干幅图像，并按照图像之间的距离由小到大的顺序显示给用户。-This paper focuses on today' s most popular content-based image retrieval techniques are studied, with emphasis on its algorithm research. In six months time, through access to a lot of relevant information, and carefully study the content-based image retrieval of the basic theory, particularly in-depth study of the color histogram and cumulative histogram algorithm theory, and finally in the MATLAB programming platform to implement this system The system can achieve the basic function of image retrieval, based on user input sample images and pictures of the image feature matching, then find and relatively small sample image from several images, and in accordance with the distance between the images from the small to large order to the user. Platform: |
Size: 3686400 |
Author:周佳森 |
Hits:
Search - histogram matching in matlab