Abstract
Increased health damage caused by asbestos has become a problem recently. Removal of asbestos from building materials or rendering it harmless are common means of alleviating asbestos hazards. In the process, a judgment of whether asbestos are included in building materials is required. Complying with an official method, particles and asbestos in microscope images of samples made from pulverized building materials should be counted to judge whether the samples contain asbestos. This task is performed manually and requires enormous amount of time and burden. Asbestos containing judgment support system with image processing is being developed to improve its efficiency. However, low brightness particles must not be detected because of judging not harm but harmless, detecting low brightness asbestos is difficult. This study is intended to establish a method is also able to detect low brightness asbestos, we propose an asbestos detection method focusing on frequency distribution of the image.
