Blob analysis can be used to analyze and classify particles in an image
The image is fed to blob analysis after processing and the feature is analyzed according to location, size and shape and a class assigned. The class can have any name. Once a class is defined, actions can then be defined to be activated automatically based on the detection of that class. There is no limit to the number of classes defined. Blob analysis when used with the image processing suite and other vision tools is a powerful algorithm that can make decisions on data in real time.
Use blob analysis to find statistical information-such as the size of blobs or the number, location, and presence of blob regions. With this information, you can perform many machine vision inspection tasks, such as detecting flaws on silicon wafers, detecting soldering defects on electronic boards, or Web inspection applications such as finding structural defects on wood planks or detecting cracks on plastics sheets. You can also locate objects in motion control applications when there is significant variance in part shape or orientation.
- 40+ features to define a blob
- Built in rule based classifier
- Matrix based decisions
- Morphological image to filter image prior to analysis
- Ability to add filter zones to exclude classes
- Uses material edge locator to define region of interest
- Roll to roll inspection
- Object location
- Part inspection
- Image analysis
ImageFlow is completely configurable. There is no need for coding. ImageFlow is designed to take advantage of commercial multi threaded processors to enhance performance. It is a pipeline image processor so the inspection is optimized to run in real time and process large images.
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