image processing

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1. Ostu’s method for automatic thresholding to get binary images(to maximize the between-class variance)
2. Hough Transform to find lines in images
3. Motion based Segmentation using Accumulative Difference Image

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Mahotas :computer vision library

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error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools Have to install "Microsoft Visual C++ Build Tools" first ! Intalled! watershed convex points calculation hit & miss, thinning Zernike & Haralick, LBP, and TAS features morphological processing Speeded-Up Robust Features(SURF), a form of local features. thresholding convolution Sobel edge detection spline interpolation SLIC super pixes 分水岭。 凸点计算。 击中/击不中，细化算法。 泽尼克＆Haralick，local binary patterns，和TAS的功能。 基于freeimage的numpy图像加载（需要安装freeimage库）。 加速的鲁棒特征（SURF）等。 阈值。 卷积。 Sobel边缘检测。 多边形绘制 距离变换 特征计算 样条插值
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Decorator(2) 7/2/18 : decorator with argument(s) !

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Decorator with Argument !! def decorator(argument): def shout(wrapped): # this is the real decorator !! @wraps (wrapped) def inner(*args, **kargs): print ( 'Before {}' .format(argument)) ret = wrapped(*args,**kargs) print ( 'After {}' .format(argument)) return ret return inner return shout @decorator('Chrisma ! ') def myfunc(): print ( 'Buy a gift!' ) myfunc() #++ output: # Before Chrisma ! # Buy a gift! # After Chrisma ! Also the argument can be anything, here I attempt to print out 'Before' and 'After' several times and the input argument is the number of times! Here is the code: def decorator(argument1, argument2): def shout(wrapped): @wraps (wrapped) def inner(*args, **kargs): print ( 'Before ! ' * argument1) ret = wrapped(*args,**kargs) print ( 'After ! ' *...
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