Abstract
Image processing is one of the important and extensively used techniques for determining physical and chemical characteristics of fruits. These characteristics are used for defining the shelf-life, packaging systems, mode of transportation and storage technique. In this method, green, yellow, and ripened banana with black spots are used for identification and classification of different ripening stages of banana. Automatic threshold separation and Aphelion 3.2 version software have been used for capturing images and analyzing structures. Hue, Saturation, and Intensity were the color coordinates used for extracting information in an image size of 451 × 256 pixels. Simplified histogram analysis on different color band was carried out. Result shows green band histogram can be used for classification of various ripening stages. In blue and red band histogram, it’s difficult to differentiate stages.
Highlights
In agriculture, automated imaging use high resolution photography to characterize food quality
During digital image processing each red, green and blue image pixel can be represented in computer memory as binary values
If we look at data population for ripened banana with black spots, we can say that population is higher at beginning and end, and decreases at the rising and falling portion
Summary
In agriculture, automated imaging use high resolution photography to characterize food quality. Images of individual food item is classified and analyzed based on size, shape and physical properties. Static imaging system is focused on stationary item but dynamic imaging system is capable of collecting image of items flowing through the optics. Computer vision or computer imaging is used to develop the theoretical and algorithmic techniques in which the information about the image can be extracted and analyzed. As extraction of useful information from image include image acquisition, image processing and determination of correlation formula and calculation of projected area (Omid et al, 2010). Image processing techniques is having expensive kit. Computer vision technology had been used for characterization and description of object in agriculture from many years. Soil color determination was done by Han and Hayes (1990), color vision of peach grading by Miller and Delwiche (1990) and Tarbell and Reid (1991) studied the growth and development of corn plants and developed data collection system on the basis of computer vision method
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