電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<音声画像処理・認識>
セルラ進化型回路網を用いた画像の領域分割とその認識
島崎 謙長尾 智晴
著者情報
ジャーナル 認証あり

2017 年 137 巻 3 号 p. 502-512

詳細
抄録

Image segmentation and image recognition are challenging processes, and the methods of merging those two processes like semantic segmentation have been studied. However, it is a lot of labor to construct the processes of segmentation and recognition manually, so automatic construction of those approaches using machine learning or evolutionary computation have been proposed. In this paper, we propose a model of pixel-wise image segmentation and recognition using Cellular Evolutionary Networks (CEN). Our proposed model is composed of a regular array of the identical feed forward networks, represented in Cartesian Genetic Programming (CGP), and each CGP connects with neighbor CGPs. In addition, we also propose a new model of CEN called CELLular Pyramid (CELLP), which operates multi resolution processing for an input image. We applied CEN and CELLP to some images and verified the effectiveness of our method.

著者関連情報
© 2017 電気学会
前の記事 次の記事
feedback
Top