開発と研究
MTSによる処理液診断システムの構築
1998 年 6 巻 6 号 p. 47-52
詳細
1998 年 6 巻 6 号 p. 47-52
Photographic processing solutions contain many components which change variously under different processing conditions in the photographic market. Therefore, it is difficult to diagnose the quality of photographic processing solutions. In most cases, the quality has been qualitatively judged by comparing their components with a fresh solution. In order to quantitatively diagnose quality, a Mahalanobis space was constructed using data including processing conditions and solution components of approximately 100 users in the market. The users were selected from those which have been operating without any photographic problems. From the solutions which caused photographic problems in the market,Mahalanobis distances were calculated. The study showed that it was possible to discriminate abnormal solutions at a certain threshold. It was also found possible to identify the items which contribute to detecting abnormal solutions.
