1. Initialisation: All the min-max points are initially set to 0. The first pattern (seed) committed to a hyperbox results in a single point that is identical to the input pattern. 2. Hyperbox Expansion: Identify the hyperbox closest to the input pattern that can be expanded and expand it. If an expandable hyperbox cannot be found, add a new hyperbox. A fuzzy colour homogeneity criterion is defined to compare the colour similarity of two hyperboxes, then a user-defined parameter is introduced to control the required degree of colour homogeneity for expanding hyperboxes. 3. Hyperbox Ovelap Test: Determine whether the recent expansion caused any overlap between hyperboxes. 4. Hyperbox Contraction: If the expansion test identified any overlapping hyperboxes, contract the hyperboxes to eliminate the overlap. 5. Fine-tuning Hyperbox Expansion: Allows the hyperbox to grow if necessary until the defect is completely enclosed. 6. Hyperbox Merging: Process that merges hyperboxes belonging to the same defect, to ensure that each defect present in the image is contained by only one hyperbox.