Opencv Interlacing Image4/17/2021
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Opencv Interlacing Image Code According ToWith a decent knowledge in Electronics, Microcontrollers, PLC, Maintenance Planning, Renewable Energy Resources, Matlab, Hydraulics and Embedded Systems (Gained knowledge in the following topics: CAN, LIN, SPI, USART, I2C, RTOS and introductory knowledge in Autosar and applying code according to MISRA-C Rules), Microcontrollers such as AVR and PIC.Also have taken one month training as an Engineering Trainee in the Mechatronics Summer Institute in Sheridan College, Canada.Fresh Mecha tronics Enginee r looking for a position in a leading company to apply the knowled ge. PLC, Mainte nance Planning, Rene wable Energy Resource s, Matlab, Hydraulic s and Embe dded. ![]() Bachelor degree in Mechatronics Engineering from the Arab Academy for Science, Technology and. Mechatronic s Summ er Institute, Sheridan College, Canada (2018). Available upon request or could be checked on my Linkedin profile. In the pictures you see results after function inRange and the second one is thresholding (which is now not in the code). In both ways HoughCirles dont see circle which is seen in front of both pictures. They are not in good quality because of the camera (you can see the noise), but I think that function should have no problem in recognizing circle. As you can see there is noise stripe on the left side but still ball is visible. Your headaches might stop when using the proper functionality:) StevenPuttemans (. HoughCircle doesnt works because your binary image doesnt contains circles HoughCircle is better with gray images because it can follow a circumference using gradient of its edge. You could try houghCircle using Green channel from RGB (red is dark in green channel). After a threshold, output shape can be completely different from input shape. If you are looking for red in HSV you should remember that there are 2 ranges for Red 0.yellow OR magenta.180 Using both ranges your binary will be more complete. Instead of searching for a circle you could search for a blob with area within a given range. If threshold is well done largest blob should be the ball You could enforce the filter using circularity too. Below is the code to catch this result: There are trackbars for understand and tune the parameters. BTW my effort is nothing if compared to OpenCV authors;-) pklab (. Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.
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