Volume : VIII, Issue : X, October - 2019

Decision Trees Based Image Segmentation using Ensemble Clustering

Lavi, Yaron, Abdallah, Loai

Abstract :

In this study, we propose an improvement on a commonly used classification algorithm – Decision Tree. The mentioned improvement has been observed during segmentation of colored images. The method in which we improved the performance of a regular decision tree, involved clustering the data which was then used as the training set for the decision tree. The clustering algorithm used was K–Means. After running both regular and improved decision tree algorithms several times, on different images of animals in a diverse set of backgrounds, we concluded that the decision tree algorithm that was empowered by the clustering of K–Means, had higher confidence levels and performance.

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Article: Download PDF    DOI : 10.36106/ijsr  

Cite This Article:

DECISION TREES BASED IMAGE SEGMENTATION USING ENSEMBLE CLUSTERING, Lavi, Yaron, Abdallah, Loai INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-8 | Issue-10 | October-2019

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