Hi - Can anyone help me on the following requirement that needs to be done using NI-Vision
I want to extract the more circular objects in an RGB color image and then I want to divide the each circular objects by 1 cm2 sections and then I need to process further on the each sections.
For accomplishing the above task , I had followed the below steps and results is not successful. Please guide me to get successful results on this task.
1) Used IMAQ detect circle function to find the ROI of the circular objects automatically.
2) Then used IMAQ mask and extract function to pick out the circular object from the original image based on the programmatically given ROI value.
3) using nested for loops and image size information , overlaid the rectangles on the extracted circular object based on the given x and y step size and extracted each objects and shown separately.
My problem here is , This above implementation is working only if the main image has only one circular object and if it has more circular objects , the algorithm fails. I want to basically know and need better algorithm to detect as many no .of circular objects present in the main color image.
Please do the needful.
Regards,
Dinesh
