Name
Title | ||
|---|---|---|
Color energy as a seed descriptor for image segmentation with region growing algorithms on skin wound images |
Abstract | ||
|---|---|---|
This paper presents a seed finding method for region growing segmentation approach using color channel energy in image regions. Instead of using the RGB system separated for each pixel, the proposal uses the energy on each color channel to improve the range of the possible values, then creates a more specific seed to detail different regions. Region size used to calculate energy was adjusted to verify the proposed method. Images used were real wound photos, taken from patients undergoing treatment at the university hospital. Results showed that energy on regions presents enough information to segment, leading to a high percentage of matching with experts marks. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/HealthCom.2014.7001874 | e-Health Networking, Applications and Services |
Keywords | Field | DocType |
image colour analysis,image segmentation,injuries,medical image processing,skin,RGB system,color channel energy,image segmentation,region growing segmentation algorithm,region size,seed descriptor,seed finding method,skin wound image,Image Segmentation,Medical Computing,Region Growing Algorithm Seed,Skin Lesion Recognition | Computer vision,Scale-space segmentation,Color histogram,Computer science,Range segmentation,Image segmentation,Artificial intelligence,RGB color model,Region growing,Channel (digital image),Color image | Conference |
Citations | PageRank | References |
2 | 0.44 | 17 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Luis Seixas | 1 | 2 | 0.44 |
| Sylvio Barbon | 2 | 46 | 10.97 |
| Claudia Martins Siqueira | 3 | 2 | 0.44 |
| Ivan Frederico Lupiano Dias | 4 | 2 | 0.44 |
| Andre Giovanni Castaldin | 5 | 2 | 0.44 |
| Alan Salvany Felinto | 6 | 2 | 0.44 |
| Lupiano Dias, I.F. | 7 | 2 | 0.44 |