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| Karin S. Komati, Evandro O.T. Salles, Mario Sarcinelli-Filho, "KSS: Using Region and Edge Maps to Detect Image Boundaries," Computing in Science and Engineering, vol. 13, no. 3, pp. 46-52, May/June, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2010.148, author = {Karin S. Komati and Evandro O.T. Salles and Mario Sarcinelli-Filho}, title = {KSS: Using Region and Edge Maps to Detect Image Boundaries}, journal ={Computing in Science and Engineering}, volume = {13}, number = {3}, issn = {1521-9615}, year = {2011}, pages = {46-52}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.148}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - KSS: Using Region and Edge Maps to Detect Image Boundaries IS - 3 SN - 1521-9615 SP46 EP52 EPD - 46-52 A1 - Karin S. Komati, A1 - Evandro O.T. Salles, A1 - Mario Sarcinelli-Filho, PY - 2011 KW - Region growing KW - edge detection KW - image processing KW - image segmentation KW - color segmentation KW - scientific visualizations KW - scientific computing VL - 13 JA - Computing in Science and Engineering ER - | |||
This fully automated process uses edge map information to eliminate false boundaries in an image's region map, and region map information to remove noise in its edge map. It then integrates the two maps into a single, final result. Experiments on a large dataset of natural color images show that this approach matches human perception better than individual methods in terms of both quantity and quality.
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