During classification stage, the algorithm maps a pixel patch of unknown class label to either targets or non-targets. A patch is labeled as path if it's color histogram is matched with any of the h color histograms saved from the learning stage using the high threshold. If none of the model histograms matches with the sample, the algorithm iterates through the h models again. This time the intersection value between the sample and the model color histogram is compared with the low threshold. If a matched model is found, the sample's texture histogram is compared with the model's texture histograms.

During classification stage, the algorithm maps a pixel patch of unknown class label to either targets or non-targets. A patch is labeled as path if it's color histogram is matched with any of the h color histograms saved from the learning stage using the high threshold. If none of the model histograms matches with the sample, the algorithm iterates through the h models again. This time the intersection value between the sample and the model color histogram is compared with the low threshold. If a matched model is found, the sample's texture histogram is compared with the model's texture histograms.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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