A Guide for Machine Vision in Quality Control 2019
DOI: 10.1201/9781003002826-5
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Digital Image Processing for Machine Vision Applications

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“…The core idea is to find an optimal separating hyperplane that satisfies the classification requirements while maximizing the margin between classes. The binary linear classification problem can be transformed into a constrained minimization problem [12] , and its classification function [13] is as follows:…”
Section: Svmmentioning
confidence: 99%
“…The core idea is to find an optimal separating hyperplane that satisfies the classification requirements while maximizing the margin between classes. The binary linear classification problem can be transformed into a constrained minimization problem [12] , and its classification function [13] is as follows:…”
Section: Svmmentioning
confidence: 99%