Quality Determination for Drinking Water by Using Image Quality Assessment PDF

Keywords

Full-reference image quality measure, NK, SC, Water quality.

Abstract

Without human involvement, the need for an automatic algorithms for quality assessment takes place especially for the case of distinguishing the quality of drinking water when the latter has the same color. Image quality assessment is closely related to image similarity assessment in which quality is based on the differences between a degraded image and the unmodified image. Based on a design of a full reference image quality measure with the help of an assumption that one of the captured images can be modeled to be the original one. The similarity measure can serve then as a quantitative measurement of the quality of the second image. A comparison between images has been tested and then analyzed by using laboratory investigations first and then by image quality metrics. Images have been captured by adopting a designing system prepared for this purpose. Results show that difference in water turbidity, heating process, and magnetization affect strongly upon images band histogram during the comparison that has been made here between drinking water samples. Among the various metrics that have been used here, the results show that Normalized Cross-Correlation (NK) and Structural Content (SC) are the best used measures in the presented assumption.