Blob detection
In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions. Informally, a blob is a region of an image in which some properties are constant or approximately constant; all the points in a blob can be considered in some sense to be similar to each other. The most common method for blob detection is convolution.
Categories
- Laplacian of Gaussian (LoG)
- Difference of Gaussians (DoG)
- Determinant of Hessian (DoH)
- Maximally stable extremal regions
- PCBR