Automatic seeded region growing for color image segmentation

By Frank Yeong-Chyang Shih, Shouxian Cheng. Image and Vision Computing, 2005

441 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d31968a34877368e30582deada54f3dbfe227f46

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Xinggang Wang
2. Jingdong Wang
3. Zilong Huang
4. Luc Van Gool
5. Jiasi Wang
6. Yi Yang
7. Chunhua Shen
8. Ming-Ming Cheng

Citations in the corpus

• Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (2018, background): “The most common way to select some seed pixels as seed based on simple handcrafted criterion [28] (e.”