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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
book

Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

by Shamshad Ansari
July 2020
Intermediate to advanced
467 pages
9h 44m
English
Apress
Content preview from Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
© Shamshad Ansari 2020
S. AnsariBuilding Computer Vision Applications Using Artificial Neural Networkshttps://doi.org/10.1007/978-1-4842-5887-3_4

4. Building a Machine Learning–Based Computer Vision System

Shamshad Ansari1 
(1)
Centreville, VA, USA
 

You learned about various image processing techniques in the previous chapter. In this chapter, we will discuss the steps to develop machine learning computer vision systems. This chapter is a primer for the next chapter, which will provide details on various deep learning algorithms and how to write code with Python to execute on TensorFlow.

Image Processing Pipeline

Computer vision (CV) is the ability of computers to capture and analyze images and make interpretations and decisions about it. For example, ...

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