Quantitative Evaluation of Color Image Segmentation Algorithms.
Andreea Iancu, Bogdan E. Popescu, Marius Brezovan, Eugen Ganea · International journal of computer science and applications · 2011
The present paper addresses the nowadays 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. We introduce a new method of salient object recognition that takes into consideration color and geometric features in order to offer a conclusive result. Our new segmentation method introduced in the paper has revealed very good results in terms of comparison with the already known object detection methods. We use a set of error measures to analyze the consistency of different segmentations provided by several well known algorithms. The experimental results offer a complete basis for parallel analysis with respect to the precision of our algorithm, rather than the individual efficiency.