Advances on multivariate image analysis for product quality monitoring

► Improvements on a multivariate image analysis technique, named iMIA, are presented. ► Changes in the procedure of iMIA allow a significative computational time reduction. ► New statistical descriptors of the texture are proposed. ► Range of applicability is extended. ► Algorithm is tested on two case studies.