How Centroid Center of blob Detection In Python Project| ratan agarwal it informer
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How Centroid Center of blob Detection In Python Project
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Project Prerequisites
1.you can install cv2 , numpy module
2.Some jpg pictures to manipulate
3. Methods
What about the video?
How Centroid Center of blob Detection In Python Project
what is Blob and how to detect it using Python OpenCV. A blob whose full form is a binary large object. Blobs are generally considered as images, audio, or video data. In computer, vision blob refers to a group of connected pixels or regions in a binary image that shares a common property. These regions are nothing but contours in OpenCV with some extra features like blob/contour orientation, centroid, color, Area, Mean, and standard deviation of the pixel values in the covered region, etc. The term "Large" in binary large objects indicates that only objects of a certain size are of interest and that the other "small" binary objects are usually noise.
Centroid (Center of blob) detection
To find the center of an image.
1.The first step is to convert the original image into grayscale.
We can use the cvtColor() method of cv2 as we did before.We read the image and convert it to a grayscale image.
2.The new image is stored in gray_img.
3.Now we have to calculate the moments of the image.
Use the moments() method of cv2. In the moments() method, the grayscale image will be passed as below:
moment = cv2.moments(gray_img)
4.Then we need to calculate the x and y coordinates of the center of the image by using the moments that we got above:
5.Finally, we have the center of the image.
6.To highlight this center position, we can use the circle method.which will create a circle in the given coordinates of the given radius.The circle() method takes the img, the x and y coordinates.
where the circle will be created, the size, the color that we want the circle to be and the thickness.syntax is as follows--
cv2.circle(img,center,radius,color,thikness,lineType,shift)
7.The circle is created on the image.
To Read & Display image use methods
Imread() – read image
Type (image) – show type
Imshow() –show image
Waitkey() -to halt
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