Beginner's Guide to Image Preprocessing Techniques

Key Features

Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description

Includes image data pre-processing for neural networks and deep learning

Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques

Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline

Details complications to resolve using image pre-processing