The Department of Information Engineering, Hiroshima University

Developtment of region classification and segmentation algorithms for bio-image

It is not easy to develop a new image processing algorithm by trial and error for each biological target or measurement method.  Machine learning can automatically estimates parameters of a model from training data and is useful to develop the image processing algorithm. Especially approaches using deep learning  have attracted attention. In this research, we develop a local region classifier using machine learning and a segmentation method of biological images. For that purpose, we develop machine learning algorithm for local region classifier and image segmentation algorithm using the outputs of the local region classifier.