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图像处理和分析
Mathematica 为现代工业强度的图像处理的编程和互动提供了具有广度和深度的内置支持——完全与 Mathematica 强有力的数学和算法功能整合在一起. Mathematica 特有的符号结构和笔记本模式使得视觉形式上的图像可以直接互动和编程操作.
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Analyze Orientations in an Image
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Analyze Segmented Cells in an Image
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Analyzing Road Networks
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Apply Any Coloring Function to an Image
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Apply a Range of Filters to Any Image
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Apply Basic Morphological Operations
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Colorize Connected Components in Complex Structures
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Color Transformation
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Create a Motion Blur Effect in an Image
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Create Artistic and Photographic Effects
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Create a Stained Glass Effect on an Image
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Create Dynamic Image Processing Tools
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Create Pseudo Coloring in an Image
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Deconvolve a Blurred Image
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Detect Edges in Images
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Divide Images around Features
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Do Morphological Image Processing on Color Images
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Do Neighborhood Processing on Images
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Enumerate Possible Image Filters
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Erode a 3D Volume
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Evolution of a 3D Cellular Automaton
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Extracting the In-Focus Portion of an Image
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Extract Larger Objects from an Image
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Face Detection
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Find and Visualize Matching Points in Two Images
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Find Objects of a Specific Color
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Gradient Filtering of a 3D Image
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Import and Visualize Volume Data
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Import File Elements
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Input Images Directly in a Notebook
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Large Image Analysis
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Make Gaussian Matrix Kernels
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Manipulate Color Channels
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Match Image Histograms
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Pick out Structure with Distance Transforms
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Remove Background Features from an Image
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Remove Noise from an Image
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See inside a Volume
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Segment an Aerial Image
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Segmentation of a 3D Volume
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Similarity Graph of Images Using Earth Mover Distance
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Simplify an Image Mask
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Slice through a Volume
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Transform Images Using B-Spline Functions
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Use a Custom Color Function
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Use Iterative Nonlinear Filtering
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Visualize the Evolution of the Game of Life in 3D
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Visualize the Gradient Direction
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Visualize Tomography Data
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Wavelet Image Fusion
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Work With Images as Symbolic Expressions
