Threshold Segmentation Algorithm Based on Maximum Between-Class Variance Criterion
A threshold segmentation algorithm utilizing the maximum between-class variance criterion, which operates by partitioning pixels and maximizing inter-class distance to determine optimal thresholds. Implementation typically involves histogram analysis and iterative variance calculations.