Titlebook: Building Computer Vision Applications Using Artificial Neural Networks; With Step-by-Step Ex Shamshad Ansari Book 20201st edition Shamshad

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Alexandru-Darius Filip,Voichi?a Adriana RaduYou 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.

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https://doi.org/10.1007/978-88-470-1784-9Computer vision has many applications in industrial manufacturing. One such application is in the automation of visual inspection for quality control and assurance.

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Core Concepts of Image and Video Processing,This chapter introduces the building blocks of an image and describes various methods to manipulate them. Our learning objectives in this chapter are as follows:

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,Building a Machine Learning–Based Computer Vision System,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.

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Deep Learning and Artificial Neural Networks,This chapter will cover deep learning and artificial neural networks. The chapter will explore this topic with working code examples to show how to apply deep learning concepts in computer vision. Our learning objectives of this chapter are as follows:

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Industrial Application: Real-Time Defect Detection in Industrial Manufacturing,Computer vision has many applications in industrial manufacturing. One such application is in the automation of visual inspection for quality control and assurance.

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