COLOR-BASED MODELS FOR OUTDOOR MACHINE VISION FEBRUARY, 2002 SHASHI D. BULUSWAR, B.A., GOSHEN COLLEGE M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Allen R. Hanson This study develops models for illumination and surface reflectance for use in outdoor color vision, and in particular for predicting the color of surfaces under outdoor c...

Teaching color vision testing can be challenging when all (or nearly all) of the students in the class have normal color vision. Colored filters or computer simulation can be used to simulate color vision deficiencies, but both have some drawbacks. As an alternative, we used a blue compact fluorescent lamp to illuminate various clinical color vision tests. The results from 20 students showed th...

Many visual animals exploit spectral information for seeking food and mates, for identifying preys and predators, and for navigation. Animals use chromatic information in two ways. "True color vision," the ability to discriminate visual stimuli on the basis of their spectral content independent of brightness, is thought to play an important role in object identification. In contrast, "wavelengt...

development of a suitable method for color sorting of agricultural products such as: tomato, apple and orange, based on surface reflection and image formation was the goal of this research. a suitable scheme of color differentiation using an optic head and electrical processing circuitry for separating red from green and other colors is presented. a photo-conductive transducer, electrical resis...