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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Answer fast please.
![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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F56591575-84bc-4067-80c6-4c3b3f8213b8%2Fc4dd4ff0-033b-4ab7-a028-f51ea5dc0e4b%2F0o1mgaof_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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.
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