Image Processing
Overview
Machines can be taught to interpret and analyze images the same way our brains do. Image Processing involves manipulation of an image that amplify the same to generate information out of it. The main goal of Image Processing is to represent processed data in a visual way, improve the processed image quality and classify objects in the image.
Methodologies
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Analog Image Processing: used for processing photographs, printouts, and other image hard copies.
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Digital Image Processing: used for manipulating digital images with the help of complex algorithms.
This Repo
In this repository I added a collection of jupyter notebooks with examples of Image Augmentation, Prediction and Recognition using TensorFlow.
It contains
data
data sets used in the modelsnotebooks
jupyter notebooks with image processing examples
This collection of Jupyter Notebooks came from my own studies and trainings I have done during the past years. They are all updated to be used with Python 3.7
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Thank you!