Image Segmentation by Using Threshold Techniques
Salem Saleh Al-amri, N.V. Kalyankar, Khamitkar S.D.

TL;DR
This paper compares five threshold-based image segmentation techniques on satellite images to identify the most effective method for threshold segmentation.
Contribution
It evaluates and compares five different threshold techniques to determine the best approach for satellite image segmentation.
Findings
Mean method performed best among the techniques.
Histogram Dependent Technique showed promising results.
Edge Maximization Technique was less effective.
Abstract
This paper attempts to undertake the study of segmentation image techniques by using five threshold methods as Mean method, P-tile method, Histogram Dependent Technique (HDT), Edge Maximization Technique (EMT) and visual Technique and they are compared with one another so as to choose the best technique for threshold segmentation techniques image. These techniques applied on three satellite images to choose base guesses for threshold segmentation image.
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Taxonomy
TopicsMedical Image Segmentation Techniques · Image and Object Detection Techniques · Image Retrieval and Classification Techniques
