A CCD based vision senor system is described in this study. Such a vision system offers both the color images from the object under study and also provides quantitative information concerning the image intensity profile. It is possible to obtain reflection and image data by using single or double light sources for the object illumination. Using the active and passive lighting combination, the reflection data and image profile for different fruits are obtained and presented in this study. To check the potential of the reported vision system for fruit grading and shape analysis some of the related data is described here. The image intensity profile as a function of the x and y coordinates are obtained from fruit surfaces such as banana (plain surface) and apple surface (spherical). The observed intensity profile for the plane surface is uniform in both x and y directions while the spherical surface shows a maximum value at a particular x andy values. In another study the reflected light from fruit surfaces are collected by using a laser light source. Reflected intensity depends on the light wavelength, surface color and its characteristics, which can be helpful in vision analysis. Proposed method can be implemented effectively in the fruit production line for color and shape/size grading purposes.
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