Quantitative Evaluation of Color Image Segmentation Algorithms

Provided by: Technomathematics Research Foundation
Topic: Software
Format: PDF
In this paper, the authors address the now-a-days field of image segmentation by offering an evaluation of several existing approaches. The paper offers a comparison of the experimental results from the error measurement point of view. They introduce a new method of salient object recognition that takes into consideration color and geometric features in order to offer a conclusive result. Their new segmentation method introduced in the paper has revealed very good results in terms of comparison with the already known object detection methods.

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