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Multi-CameraCalibration
- A one-dimensional calibration object consists of three or more collinear points with known relative positions. It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates around a &mac
Extraction of Finger Vein Patterns Using Maximum Curvature Points in Image Profiles.pdf
- very good paper for Finger Vein Pattern.
imagemosic
- 针对基于图像特征点的配准方法中对应特征对难以准确提取的问题,提出一种基于兴趣 点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基 础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实 验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding char
image_limitvalue
- 3幅图像26各点比较大小，得出极值，主要输出的是中间图像的极值情况！-3 Comparison of image size of 26 points, reached maximum, the main output is the extreme situation in the middle of the image!
4
- 基于MAP的红外图像超分辨率技术研究的硕士论文，文中主要采用最大后验概率完成超分辨率算法的图像重建。-MAP-based infrared image super-resolution technology research master' s thesis, the main use of maximum a posteriori probability of the completion of super-resolution image reconstruction algorith
cornerdetect
- 图像中的角点包含大量的信息，在计算机视觉中扮演重要角色，在许多应用中角点用作特征点，例如图像配准、运动目标跟踪等。鉴于此，学者们提出很多角点检测方法。例如Hans EMoravec在1977年提出的Movavec算法，Chris Harris和Mike Stephens于1988年提出的Harris算法，以及MirosavTrai．kovic和MarkHedley提出的Trajkovic算法等“卅。角点检测的另一个途径是计算轮廓的曲率函数，因为角点是曲率函数的最大值，因此很容易通过阈值的方法检测
1001-3695(2008)03-0939-03
- AAA基于最大特征点对互信息量的一种新的算法研究，理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. -AAA feature points based on the maximum mutual information of a new algorithm, theoretical analysis and experimental results show that the algorithm for image rotation between
ORL-FACE
- Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p N). We called the new subspace defined by basis vectors “face space”. First, all training
Fergus-Perona
- We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al
The-maximum-entropy-method-
- 算法通过将二维直方图分为四部分：背哥、目标．受噪声干扰的背景和受噪声干扰的目标，以选取这四部分的信息熵的和最大作为闽值的选取准则。访方法有三个优点：尽可能包括背罱部分和目标部分；可以有效地提高对噪声敷据的鲁棒性；不过度地引入噪声和边缘信息。实验结果表明，谊方法具有较好的图像分割效果。-Through two-dimensional histogram algorithm will be divided into four parts: back elder brother, target. By
otsu_2d
- 二维最大方差图像分割方法的matlab程序实现-2D maximum variance image segmentation method matlab program
mutual-information
- 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得
maxentropie
- threshold is a key technique for the segmentation and edge detection in an image for image processing. Here in this file the threshold is on the based of the maximum entropy of an image using shannon entropy method.
AO-2013
- Real-time highlight removal using intensity ratio In this paper, we propose an efficient method to separate the diffuse and specular reflection components from a single image. The method is built on the observation that, for diffuse pixels, th
Probe-into-Image-Segmentation-Based-on-Sobel-Oper
- Probe into Image Segmentation Based on Sobel Operator and Maximum Entropy Algorithm
Torn-images
- Torn images is reconstructed to get full input image using maximum spinning tr-Torn images is reconstructed to get full input image using maximum spinning tree
Matlab
- nonmaxsup——非最大值抑制 hysthresh——设定阈值区间，返回一个二值化图像 canny——边缘探测，图像边缘增强 adjgamma——调整图像的伽马值 findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标 circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标 houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆 findcircle——计算所得线上各点
Channel-Division-drak-image-enhancement
- A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping f
modDRF.pdf
- In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed mo
autocontrast
- contrast adjusment Contrast is the difference in luminance or color that makes an object (or its representation in an image or display) distinguishable. In visual perception of the real world, contrast is determined by the difference in the color a