The method of measuring amount of piled-up objects using texture images analysis is developed and examined. This method treats an image of piled-up objects as a random texture. 9 type×5 size of minute shape features are extracted from the texture, and effective features to measure are statistically selected to derive a regression. When experimenting on 50-500 rubber bands in a box of 21.5×13.5cm, a regression that confidence interval of 99% is ±13.6 was obtained. However, because the feature of textures did not change any more when there were more rubber bands, it was not possible to estimate. As a result of another experiment that estimate dry mass weight of weeds in test grids of 70×70cm of the field, a regression that confidence interval of 99% is ±123.1g was obtained. The saturation problem is not caused in the estimation because there is a limit in the amount of the weed that grows in the test grid. The measurement accuracy is improved by distinguishing a predominant species in the grid as a preprocessing and selecting a suitable regression to the species thereafter.
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