Practical machine learning and image processing :  for facial recognition, object detection, and pattern recognition using Python / 
xvHimanshu Singh 
 - New York, NY :  Springer,  2019. 
 - xv, 169 p. ;  23 cm. 
<br/><br/> Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing.  
<br/><br/><label>ISBN: </label>9781484241486 
<br/><br/><label>LCCN: </label>2019933848 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Image processing
<br/><br/><label>Dewey Class. No.: </label>006.31 PR AC