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基于边缘和局部能量的NSCT变换遥感图像融合-Edge and local energy NSCT based remote sensing image fusion
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这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global inten
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利用curvelet波将不同聚焦图像进行分解，然后利用局部能量最大的方法将图像合成，得到清晰的图像、-Curvelet waves using different focus image decomposition, and then make use of local energy will be the largest image synthesis methods have been given clear images,
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图像融合是图像处理的一个研究热点，这里提供一种方法即局部能量最大选取规则图像融合法-Image fusion is image processing of a research hot spot that is here to provide a way to select the rules of the local energy of the largest image fusion method
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李纯明最新实现的局部活动轮廓模型的图像分割，比CV模型方法好很多。包含所实现的论文Minimization of Region-Scalable Fitting Energy for Image Segmentation-Li Chunming latest realization of the local active contour model for image segmentation, much better than the CV model approach. The paper
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原始snake matlab 源碼，簡單版- seg = localized_seg(I,init_mask,max_its,rad,alpha,method)
Inputs: I 2D image
init_mask Initialization (1 = foreground, 0 = bg)
max_its Number of iterations to run segmentation for
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Harris角点检测算 法是在Moravec算法的基础 上提出的。Moravec角点检测算法的思想是： 在图像中 设计一个局部检测窗口，当该窗口沿各个方向作微小移动时 ，考查窗 口的平均能量变化，当该能量变化值 超过设定的阈值时，就将窗口的中心像素点提取为角 点。-Harris corner detection algorithm is based on the algorithm in Moravec' s. Moravec corner detection algorithm idea
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这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
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This code demomstrates an improved algorithm based on the local binary fitting (LBF) model
in Chunming Li et al s paper:
"Minimization of Region-Scalable Fitting Energy for Image Segmentation",
IEEE Trans. Image Processing, vol. 17 (10), pp.
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Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in additi
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