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lbp_matlab
- 实现纹理模式的LBP特征表示及分类。 实现一种基于局部二值模式LBP（Local Binary Pattern）的多分辨率灰度尺度及旋转不变性的纹理分类方法-LBP texture model to achieve that as well as the breakdown characteristics. The realization of a model based on local binary LBP (Local Binary Pattern) Multiresolution g
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
cbir
- 用的是局部颜色特征，再说细点是用里面的区域颜色直方图的方法。把图像归一化到256X256，把图像分成4X4块，计算16个区域的颜色直方图、、、 最后计算相似度是用欧氏距离.-Using local color feature, repeat fine-point is inside the regional color histogram method. The normalized image to 256X256, the image is divided into 4X4 blocks
ORFTMP
- 利用局部直方图法进行运动目标的检测。能够很好适应光照变化-The use of local histogram method of detection of moving targets. Able to adapt to changes in illumination
20090330003
- 针对人工方法计数悬浮细胞的缺陷，利用计算 机对放大倍数为100的这类常见细胞图像进行处 理，实现细胞的自动识别与计数．-counting ceHs manually，live cells are recognized and counted automatically by image-analyzing technique．Two methods are used to segment two different kinds of cell images respectively．
200905121500
- 号由光电探测器检测后传送到相应的放大电路，放大电路采用集成运算放大器。按原先对光电探测器的编码规则采用多路优先编码器对信号进行编码。最后把编码值以串口的形式传送到计算机，利用计算机的强大功能对打靶结果进行各种处理。与计算机之间的串行数据传输由89C2051单片机实现。89C2051单片机的程序，使用keil编译器进行设计和调试完成，其主要功能是控制数据的串行传送，实现与计算机的串口通信。 该信号处理系统实现了对信号的-counting ceHs manually，live cells are
200802030917
- 力过程是整个系统的关键。激光打靶的打靶过程，由激光枪发射激光脉冲信号，光电靶接收激光脉冲信号，经过系列信号处理过程最终得到打靶的结果。光电靶由许多块的光电探测器组成，每块不同位置的光电探测器对应不同编号，从打靶的实际情况出发，确定了相应的编号规则。打靶的成-counting ceHs manually，live cells are recognized and counted automatically by image-analyzing technique．Two methods are
HillClimbingSegment.1.0
- 程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。-mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the c
Assignment_2
- Image Enhancement -1. Histogram Equalization (a) Write a C++ function for computing the histogram of an image. (b) Write a C++ function to implement the histogram equalization with local enhancement ability for any neighbourhood si
regionselection
- you can select a local region on an image and draw the local histogram.
Textureclassificationusingspectralhistograms
- Based on a local spatial/frequency representation,we employ a spectral histogram as a feature statistic for texture classification. The spectral histogram consists of marginal distributions of responses of a bank of filters and encodes implicit
histo
- 直方图及直方图均衡化，用来增加许多图像的局部对比度，尤其是当图像的有用数据的对比度相当接近的时候。通过这种方法，亮度可以更好地在直方图上分布。这样就可以用于增强局部的对比度而不影响整体的对比度，直方图均衡化通过有效地扩展常用的亮度来实现这种功能。 -Used to increase the local contrast of many images, especially when the contrast of the image of the useful data is very c
HistogramEqualization
- 直方圖和區域直方圖等化的運用，基本影像處理常用的方法-Histogram and Local Histogram Equalization
001
- 对子图像进行局部直方图计算，由最大方差比例阈 值确定方法计算出子图像的最佳阈值。根据局部直方图中波峰数决定是否增强子图像中被最佳 阈值划分出的低灰度区域和高灰度区的对比度。然后对已经选择性对比增强的图像进行边缘检 测。实验证明图像的区域层次更清楚，提取的边缘细节也更丰富。自适应算法则最大限度地突 出了边缘而同时保持了图像中相近灰度级的平滑性和连续性。-Image pairs local histogram calculation by the maximum variance r
Histeq
- 包含两个代码，分别是全局直方图均衡和局部直方图均衡，适用于不同情形-Global and local histogram equalization
count_no._of_peaks
- code in matlab for counting number of peaks in a histogram
Histogram-equalization-
- 实现对图像进行区域增强处理，使图像的局部信息更清晰更明朗-realize the image enhancement processing area, Make the image of local information more clearly
Dynamic-Local-Color-histogram
- 基于动态局部颜色直方图的图像检索，pdf论文，无源码-Dynamic Local Color histogram
localHistCal
- 实现了局部直方图的均衡，在一副图像的矩形窗中实现直方图均衡，像素均衡范围为(min,max),分别代表矩形块的最大最小像素数。-The local histogram equalization in a rectangular window to achieve the image histogram equalization, balanced range of pixels (min, max), representing the minimum and maximum rectangula
Histogram-contrast
- 对比度受限自适应直方图均衡法,其通过限制局部直方图的高度来限制局部对比度的增强幅度,从而限制噪声的放大-Contrast limited adaptive histogram equalization method, the magnitude of the local contrast enhancement to limit the local histogram by limiting the height, thus limiting the amplification of noise