LBP is a grayscale image thresholding operation that's used to classify images based on distinct patterns. The binary pattern is developed by comparing the neighborhood pixel value with that of the center pixel value and is used to construct histogram bins. In the following section, we will describe the LBP operation in detail.
Processing images using LBP
Generating an LBP pattern
The principal steps for LBP pattern generation are as follows:
- Convert RGB image A into grayscale image G.
- For each pixel with intensity Ic (x,y) in image G, choose P neighboring points (p0, p1 .. pP-1) with corresponding intensity (I0, I1 .. IP-1) at radius R. The radius is defined in pixel units as the difference between two pixels. The pixel...