Howtosignalprocessing
- What is Blob filtering?
- What is blob detection used for?
- What is blob analysis image processing?
- What is Blob in machine learning?
What is Blob filtering?
A Blob filter is a routine that translates Blob data from one subtype to another. InterBase includes a set of special internal Blob filters that convert from subtype 0 (unstructured data) to subtype 1 ( TEXT ), and from subtype 1 to subtype 0.
What is blob detection used for?
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.
What is blob analysis image processing?
The method of analyzing an image that has undergone binarization processing is called "blob analysis". 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.
What is Blob in machine learning?
A Blob is a wrapper over the actual data being processed and passed along by Caffe, and also under the hood provides synchronization capability between the CPU and the GPU. Mathematically, a blob is an N-dimensional array stored in a C-contiguous fashion. Caffe stores and communicates data using blobs.
