- Category:
- 2D Graphic
- Tags:
-
- File Size:
- 726kb
- Update:
- 2018-04-15
- Downloads:
- 0 Times
- Uploaded by:
- EMC
Description: The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.
To Search:
File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| 3.7 基于最大类间方差阈值与遗传算法的道路分割\main.m | 8087 | 2012-02-14
|
| 3.7 基于最大类间方差阈值与遗传算法的道路分割\road1.JPG | 251936 | 2000-01-06
|
| 3.7 基于最大类间方差阈值与遗传算法的道路分割\road2.JPG | 493775 | 2005-10-25
|
| 3.7 基于最大类间方差阈值与遗传算法的道路分割\程序运行说明：.doc | 24064 | 2011-09-26
|
| 3.7 基于最大类间方差阈值与遗传算法的道路分割 | 0 | 2011-09-26 |
Download