Automatic Image Threshold Segmentation Using Otsu's Method with 2D Attribute Histogram

This paper presents the concept of 2D attribute histogram and proposes an automatic image thresholding method based on 2D attribute histogram using Otsu's algorithm. The implementation involves calculating pixel intensity relationships within local neighborhoods and optimizing inter-class variance through statistical analysis of bidimensional histogram distributions.