Log-based industries especially paper manufacturers usually store large quantity of logs in wide opened area which is not good situation to automatically estimate the remained amount. Though the cross-section image can be utilized to effectively assess quantity of piled logs, investing cameras to view cross-section of every pile is quite inefficient. In this paper, the method for estimating quantity of piled logs is presented based on segmentation of image through grey scale morphological segmentation and histogram projection cut. The experiments are conducted based on two image captive devices which are surveillance and D-SLR cameras. The results confirm the usability of the proposed method with 78% accurate estimation.

Previously, estimation of piled logs scattered in wide area is processed via hi-definition fixed camera which is not effective because the camera is attracted to be stolen. Therefore, the method to calculate area of segmented outdoor piled logs is now implemented on a smartphone which consists of an orientation sensor in order to benefit mobile usage and reduce cost of camera installation. The method is twodimensional area calculation of piled logs with virtual ruler grid based on images taken through a calibrated smartphone camera. The result shows that the proposed method is able to alleviate time-consuming issue, the method accuracy is relatively 88% compared to measuring by a tape measure.