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Description: A demo for image segmentation using iterative watersheding plus ridge detection. -A demo for image segmentation using iterative watersheding plus ridge detection.
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Size: 541696 |
Author: 徐朝阳 |
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Description: 97 law to enhance the classic procedure
Ridge wavelet extraction
Modulus maximum for the wavelet edge detection
Small spectral analysis method mallat classic procedure-97 law to enhance the classic procedure Ridge wavelet extraction Modulus maximum for the wavelet edge detection Small spectral analysis method mallat classic procedure
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Size: 6144 |
Author: 顾冬梅 |
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Description: 里面有canny检测的算法（对灰度图象），
有gabor算法提取指纹脊线，还有别的一些检测算法。里面包括指纹图象-There are canny detection algorithm (for gray-scale images), there gabor fingerprint ridge line extraction algorithm, as well as some other detection algorithm. Included fingerprint image
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Size: 584704 |
Author: 王飞 |
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Description: 基于边缘检测的迭代分水岭分割算法源码(内附图片等)-Image Segmentation Using Iterative Watersheding
Plus Ridge Detection
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Size: 564224 |
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Description: canny检测器是很有效的边缘检测器，该函数可以实现对目标图像的边缘提取。该方法总结如下：1.图像使用带有指定标准差的高斯滤波器来平滑，以此减少噪声；2.在每一点计算局部梯度和边缘方向；3.第二步中确定的边缘点会导致梯度幅度图像中出现脊，然后追踪所有脊的顶部，并将所有不再脊顶部的像素设置为0；4.执行边缘链接-canny detector is very effective edge detector, this function can be achieved on the target image edge detection. This method is summarized as follows: 1. Image used with the specified standard deviation of the Gaussian filter to smooth out, thereby reducing the noise 2. In the calculation of each point of local gradient and edge direction 3. The second step in determining the edge points will led to the image gradient magnitude ridge appears, and then keep track of all of the top of the ridge, and ridge at the top of all the pixels are no longer set to 0 4. the implementation of the edge link
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Size: 185344 |
Author: hanyantao |
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Description: 基于分水岭的迭代式分割算法演示，基于matlab7.6，可有效并且准确的分割目标图像-A demo for image segmentation using iterative watersheding plus ridge detection
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Size: 542720 |
Author: meng |
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Description: Harris, Laplace, det(H), Ridge兴趣点检测，包括了laplace迭代过程-Harris, Laplace, det (H), Ridge interest point detection, including laplace iterative process
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Size: 464896 |
Author: 唐玉娟 |
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Description: Image Segmentation Using Iterative Watersheding algorithm and Ridge Detection technique for metallographic images.-Image Segmentation Using Iterative Watersheding algorithm and Ridge Detection technique for metallographic images.
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Size: 169984 |
Author: sachinbhat88 |
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Description: Image Segmentation Using Iterative Watersheding
Plus Ridge Detection
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Size: 167936 |
Author: girish |
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Description: The attachment consists of a source code that performs malarial segmentation using k-means clustering.It also contains HUI conversion of an malarial image.Water shed algorithm applied on a cel image , and detection of water ridge lines for dental x ray image
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Size: 355328 |
Author: akhila |
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Description: In this tutorial, you will use ENVI Zoom to display a hyperspectral image of Jasper Ridge, California, and enhance, zoom, pan, and rotate the image. You will perform RX anomaly detection on the scene to identify anomalous spectral targets.
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Size: 247808 |
Author: mr moghadam |
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Description: 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测
参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hessian) and Ridge interest point operators in combination with spatial scale selection based on the extrema of scale-normalized Laplacian and affine adaptation basen on second-moment matrix. Scale and shape adaptation are optional and disjoint.
Zip archive: affintpoints.zip
Ref: An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.
What is in the package:
1) ineterst point detection of different kinds (Harris, Laplace, det(H), Ridge)
2) scale, shape and position adaptation procedure
3) demo examples and a script for batch-mode computation and saving of the results
what is not in the package:
- no rotation estimation
- no region descriptor computation
Platform: |
Size: 901120 |
Author: 灵台斜月 |
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Description: 2DGabor filter used for Ridge detection in grayScale images
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Size: 1024 |
Author: neman |
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Description: 对仿真信号进行时频分析，单峰检测，脊线提取，脊线拟合，计算脊线波动方差，从而判断信号类别。本次仿真采用的是线性调频信号，对其他信号也具有适用性。对仿真信号进行时频分析，单峰检测，脊线提取，脊线拟合，计算脊线波动方差，从而判断信号类别。-The time-frequency analysis of the simulation signal, unimodal detection, ridge line extraction, ridge line fitting, fluctuation variance calculation ridge line, to determine the signal classification.USES a linear frequency modulation signal, the simulation also has the applicability for other signals.The time-frequency analysis of the simulation signal, unimodal detection, ridge line extraction, ridge line fitting, fluctuation variance calculation ridge line, to determine the signal classification.
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Size: 1024 |
Author: 刘婷 |
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Description: 使用自动伸缩选取的边缘检测与脊背检测的算法论文文档。类似于 CANNY方法的边缘检测，只检测出物体脊背线，对于边缘众多的情况提出自动选取的方法。-Edge detection and ridge detection with automatic scale selection
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Size: 10196992 |
Author: WB |
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Description: 基于对指纹的完整脊状结构的显式检测的表征。
在指纹上有丰富的歧视性信息的重要组成部分。当地的脊
结构不能完全以细节为特征。这个基于过滤的算法使用了一个Gabor过滤器来捕获本地和全局的细节。
指纹作为一种紧凑的固定长度的指纹。指纹匹配是基于欧几里德的。
两个对应的指纹之间的距离是非常快的。我们能够实现a。
验证精度仅略低于基于细节的算法的最佳结果。
发表在开放文学。我们的系统比先进的基于细节的系统性能更好。
当应用系统的性能要求不要求非常低的错误接受率时。
最后，我们证明了匹配的性能可以通过结合配对的决定来提高。
基于互补(基于细节和基于过滤的)指纹信息。(With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to extract automatically. The widely used minutiae-based representation does not utilize a significant component of the rich discriminatory information available in the fingerprints.)
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Size: 1242112 |
Author: kkkaimm |
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Description: 该项目包含特征提取，模型判别，运动建模，特征提取包含Haar-like，HOG，判别包含岭回归，SO-SVM，测试数据集为2013Tracking-Benchmake BlasketBall手动标注图像(The project includes feature extraction, model discrimination, motion modeling, feature extraction including Haar-like, HOG, discriminant inclusion ridge regression, SO-SVM, test datasets for 2013 Tracking-Benchmake BlasketBall manual annotation images)
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Size: 57496576 |
Author: 水里一条猫 |
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