Note on contrast measures and polynomial classifiers

Abstract

The application of a contrast measure for segmenting images and the relationship of this method to polynomial-based classification are considered. The relevance of the segmentation method is shown by applying the contrast measure to a semiconductor manufacturing inspection problem. The contrast measure is shown to be a particular case of a pixel classification technique based on polynomial decision functions and local texture features. This relationship integrates an important heuristic method with the rigorous theory of decision-theoretic classification.>

Related Papers

• → Contrast adaptation may enhance contrast discrimination(2002)48 cited
• → Low complexity photo sensor dead pixel detection algorithm(2012)14 cited
• → Sub-pixel mapping based on sub-pixel to sub-pixel spatial attraction model(2011)12 cited
• → Reversible Data Hiding Based on Multiple Strategies(2022)1 cited
• Defining and Classifying "Contrast" as a Semantic Category in Modern Chinese(2009)