Halcon, blob analysis
Application scenario, the contrast of the gray image binarization clear
The basic process flow
1 read the image
read_image(变量名,'路径') //halcon字符串使用单引号''
2 preprocessing
- 2.1 ROI (Region of internesting) a region of interest,
- 2.2 opened the contrast
- Geometric transformation 2.3
- 2.4 denoising
*使用灰度直方图,调整 插入代码
theashold(变量名,Regions,89,234)
A mixture of the above methods, see item specific case flexible transform
3 division
- 3.1 open operator first expansion after corrosion
- After closing operation expanded to 3.2 Corrosion
- 3.3 corrosion
- 3.4 expansion
- communication connection is disconnected domain
Feature selection, using the feature histogram, the processing characteristics depending on the circumstances, to obtain particular desired character recognition, etc.
4 calculates Display Identification
Counting the number of symbols variable absolute value | something |
Calculated using the number of feature count_object
dev_display () display
dev_message
The basic steps of image processing is important that the idea of how to get things of interest, operator flexibility in the use