Paper Title
Implementation of Image-based Water Level Measurement System

In recent years, it is important to measure the level of water due to frequent floods and localized heavy rains. However, the recent observations of water level depend on manpower. Therefore, we developed a system that automatically observes the river level to prevent disasters and reduce costs. In this paper, we describe a method of measuring the water level by recognizing the ruler that appears at different size and at arbitrary positions in the image. That is, only the region with ruler is extracted through the image processing step and scale number son the ruler are recognized by ANN(Artificial Neural Network) classifier. The results showed the superiority of the proposed method by comparing the integral channel feature with other one. Index Terms - Water level measurement, Integral channel features, Adaboost