Machine vision for automated visual inspection of cotton quality in textile industries using color isodiscrimination contour

Application of machine vision for automated visual inspection of cotton quality in textile industries is proposed. This automated visual inspection can be done by analysis of cotton image. The analysis involves color discrimination between cotton and impurities. Colors can be quantitatively described by color coordinates. Generally, human observers cannot discriminate between two colors if they can be described within an isodiscrimination contour. To inspect the quality of cotton, the cotton image will be analyzed for impurities using this isodiscrimination controu. The issues of signal processing and illuminations will also be discussed. These factors can contribute to errors in the inspection system. Also, a method for significantly improving speed of image processing will be mentioned.