Automated Massecuite Sucro Crystal Size characterization system for crystallization pan in sugar industry

Abstract

Automated Massecuite Sucro Crystal Sizing System has been developed to analyze the sucrose crystals, size and shape in the crystallization pan. The sucrose crystals present in the massecuite are analyzed by a microscopic camera. This paper proposes an automated method for identifying the size of sucro crystal by performing a series of contrast enhancement techniques including statistical momentary analysis through standard deviation. This helps to equalize the intensity distribution in the massecuite images at the preprocessing stage. This work Identifies the crystal cluster from the massecuite which helps to characterize crystal size distribution in the crystallization pan. Crystal Size analysis guides the plant operator to improve the quality of the final product in sugar industry.