Learn OpenCV 4 by Building Projects by David Millán Escrivá

Author:David Millán Escrivá [David Millán Escrivá]
Language: eng
Format: epub
Tags: COM016000 - COMPUTERS / Computer Vision and Pattern Recognition, COM051070 - COMPUTERS / Programming Languages / C++, COM051000 - COMPUTERS / Programming / General
Publisher: Packt Publishing
Published: 2018-11-30T16:31:23+00:00

In Chapter 5, Automated Optical Inspection, Object Segmentation, and Detection, we pre-processed the input images and extracted the regions of interest, isolating each object using different techniques. Now, we are going to apply all the concepts we explained in the previous sections in this example to extract features and classify each object, allowing the robot to put each one in a different box. In our application, we are only going to show the labels of each image, but we could send the positions in the image and the label to other devices, such as a robot. At this point, our goal is to give an input image with different objects, allowing the computer to detect the objects and show the objects' names over each image, as demonstrated in the following images. However, to learn the steps of the whole process, we are going to train our system by creating a plot to show the feature distribution that we are going to use, and visualize it with different colors. We will also show the pre-processed input image, and the output classification result obtained. The final result looks as follows:

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