Self-Adaptive Threshold Based on Differential Evolution for Image Segmentation
| Autor: | Peng Guo, Naixiang Li |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Segmentation-based object categorization
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition Image segmentation Grayscale Thresholding Image texture Region growing Computer Science::Computer Vision and Pattern Recognition Differential evolution Artificial intelligence business Mathematics |
| Zdroj: | 2015 2nd International Conference on Information Science and Control Engineering. |
| Popis: | Thresholding is a simple but efficient method for image segmentation, but selections of threshold depend on experiences and trials. We present an approach to generate self-adaptive threshold for image segmentation in this paper, threshold is obtained with 2-dimensional entropy and optimized with Differential Evolution. To obtain a relatively fair threshold, we run Differential Evolution algorithm 30 times, and take average values of 30 times results as threshold, and use it to image segmentation, experimental results show high performance of our method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|