Abstract
The image segmentation based on entropy is analyzed and reviewed including one-dimensional maximum entropy, minimum cross entropy, maximum cross entropy and so on. The relations of Shannon entropy, Tsallis entropy and Renyi entropy are analyzed and commented, and the performance of two dimensional (high dimension) entropy and spatial entropy is also appraised. In conclusion, it points out the future research direction, such as the computational efficiency of the high-dimensional entropy model and one-dimensional entropy and other theories integrated.
| Original language | English |
|---|---|
| Pages (from-to) | 958-971 |
| Number of pages | 14 |
| Journal | Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence |
| Volume | 25 |
| Issue number | 6 |
| Publication status | Published - 1 Dec 2012 |
| Externally published | Yes |
Keywords
- Boltzmann entropy
- Cross entropy
- Image segmentation
- Spatial entropy
- Two dimensional (high dimentional) entropy
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence