This repository contains a part of code that is part of my project and will track red objects with the servo motor.

Here are some functions I used

• cv2.rectangle() draws a box

   cv2.rectangle(image, start_point, end_point, color, thickness)

• cv2.cvtColor() converts from a color to another color

   cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

• cv2.line() draws a line

   cv2.line(image, start_point, end_point, color, thickness)

• cv2.inRange() creates a mask of red

   cv2.inRange(hsv_frame, low_red, high_red)

• cv2.findContours() finds contours of moving object

• cv2.boundingRect() returns the 4 points of the bounding box

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when the version 1.1 works:

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and when the version 2.0 works:

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what is the difference between version1.0 and version2.0 ?

I just added some morphological transformations to video. They are called erode and dilate.

-> Erode it erodes away the boundaries of foreground object and used to diminish the features of the image.

-> Dilate it increases the object area and used to accentuate features.

and then i defined another morphological functions which is called cv2.MORPH_OPEN, cv2.MORPH_CLOSE

-> cv2.MORPH_OPEN firstly, erosion operator is applied and then dilatation operator is applied. it means they work together.

-> cv2.MORPH_CLOSE It is useful in closing small holes inside the foreground objects, or small black points on the object.

I think the important difference of the code is here:

morphologyEx() function takes the dilation which is created by cv2.dilate as a source. dilate function makes clean and big area therefore, the colorful object is found clearly. and the finally, i gave to cv2.findContours as a source that is called closing and returned by cv2.MORPH_CLOSE function.

Conclusion

the first version finds the colorful object traditional way. it means, only there were classical functions but the version2.0 contains more morphological functions that finding out the area of colorful objects.