Color blob detection

1. How do you detect a Blob?
2. What is blob detection in OpenCV?
3. Can OpenCV detect color?
4. What is Blob in image processing?

How do you detect a Blob?

A natural approach to detect blobs is to associate a bright (dark) blob with each local maximum (minimum) in the intensity landscape. A main problem with such an approach, however, is that local extrema are very sensitive to noise.

What is blob detection in OpenCV?

A Blob is a group of connected pixels in an image that share some common property ( E.g, grayscale value ). In the image above, the dark connected regions are blobs, and blob detection aims to identify and mark these regions.

Can OpenCV detect color?

OpenCV has some built-in functions to perform Color detection and Segmentation operations. So what are Color Detection and Segmentation Techniques in Image Processing? Color detection is a technique of detecting any color in a given range of HSV (hue saturation value) color space.

What is Blob in image processing?

A blob refers to a lump. Blob analysis is image processing's most basic method for analyzing the shape features of an object, such as the presence, number, area, position, length, and direction of lumps.