Image Segmentation by Using Threshold Techniques

By S. Al-amri, N. Kalyankar, D. KhamitkarS.. arXiv.org, 2010

375 citations recorded by the source corpus.

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.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4f21bf63dc326f0de311952587eb445ebaebe58c

How researchers see this paper

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In Computer Vision and Pattern Recognition

1. D. Meenakshi
2. Pothiraj Sivakumar

Citations in the corpus

• A REVIEW ON IMAGE SEGMENTATION TECHNIQUES (2016, background): “Adaptive threshold is performed based on gray level, neighborhood and pixel coordinate’s properties of the image [1].”