As part of implementing face recognition, I 've extracted local binary patterns of two images. Now I would like to find the co occurrence of two 1D local binary patterns .
First you must clarify what are your objectives here:
1. Are you trying to perform some kind of matching between the query image and the database image and therefore looking to find the co-occurence between their respective LBP features?
OR
2. Are you trying to find the co-occurence between the two images of the same group/class to identify robust features to represent that particular group/class?
OR
You might be trying to do something else.
In any case you must first define how would you like to compute the co-occurence information from the available input data, in order to extract any useful information.
a new image feature based on spatial co-occurrence among micropatterns, where each micropattern is represented by a Local Binary Pattern (LBP). In conventional LBP-based features such as LBP histograms, all the LBPs of micropatterns in the image are packed into a single histogram. Doing so discards important information concerning spatial relations among the LBPs, even though they may contain information about the image’s global structure. To consider such spatial relations, we measure their co-occurrence among multiple LBPs. The proposed feature is robust against variations in illumination, a feature inherited from the original LBP, and simultaneously retains more detail of image.
U can read this article
Conference Paper Feature Extraction Based on Co-occurrence of Adjacent Local ...