CV-ML-DL

learning notes and exercise imlementations about image processing, computer vision, machine learning and deep leaning.

1. imageProcessing

basic image processing realization using matlab

including:

• basicProcess：包括线性变换、二值化、卷积、滤波、直方图计算与操作
• edgeDetection：包括Sobel检测、Canny检测、Log检测和MH检测
• curvityCalculation：包括harris检测、kass检测、moravec检测和susan检测
• morphology：数学形态学包括腐蚀、膨胀、开操作、闭操作
• moveDetection：基于区域内最大相关性（最小差方和）的运动光流检测

referrence

《特征提取图图像处理（第三版）》，Mark S.Nixon/Alberto S.Aguado著，李实英/杨高波译
《Digital Image Processing, Third Edition》, Rafael C. Gonzalez / Richiard E. Woods 著

2.UFLDL-Exercise

the main ideas of Unsupervised Feature Learning and Deep Learning and the exercise implementations

including

• Sparse Autoencoder:

referrence

UFLDL wiki : http://deeplearning.stanford.edu/wiki/index.php/UFLDL%E6%95%99%E7%A8%8B

DwyaneTalk

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           佛祖保佑       永无Bug
           心外无法       法外无心