Topic 8 (fitting)
Transcript of Topic 8 (fitting)
CSE 473: Digital Image Processing CSE 473: Digital Image Processing and Pattern Recognitionand Pattern Recognition
Spring 2015Spring 2015
Course Teacher:Course Teacher:Md. Tarek HabibMd. Tarek Habib
Assistant ProfessorAssistant ProfessorDepartment of Computer Science and EngineeringDepartment of Computer Science and Engineering
Green University of BangladeshGreen University of Bangladesh
Topic – 8: FittingTopic – 8: Fitting
What Is Fitting What Is Fitting
Fitting Lines as a Model ProblemFitting Lines as a Model Problem
The Hough TransformThe Hough Transform Fitting Lines with the Hough TransformFitting Lines with the Hough Transform
HistoryHistory
TheoryTheory
ImplementationImplementation
ExampleExample
Topic ContentsTopic Contents
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What Is FittingWhat Is Fitting
There are a variety of segmentation criteria that involve models at a larger scale.
Typically, one wants to decompose an image or a set of tokens — which could be pixels, isolated points, sets of edge points, etc. — into components that belong to one or another simple family. Finding such groups is often called fitting.
We see fitting as part of the segmentation process, because it uses a model to produce compact representations that emphasize the relevant image structures.
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