Foundamental Study on Determination of Leaves' Moisture Content Based on Near Infrared Image Texture Analysis

Water molecule absorbs light near 960 nm more than that of others. With this characteristic, texture anlysis was applied to near infrared image of two species vegetable leaves. This work is an initial research from which some physiological information of vegetable were obtained by image processing technology. Characteristic values were obtained from near infrared image of vegetable leaves by greylevel gradient occurrence matrices approach. Linear relationships between characteristic values and dry basis moisture content of leaf varied not only with varied characteristic values but also with experiment factors ( i.e. work distance of ICCD, diaphragm, intensity of light, etc.). The relationships are also related to the grayscale of gradient image.