Image processing and recognition for biological images

研究成果: Contribution to journalReview article査読

55 被引用数 (Scopus)

抄録

This paper reviews image processing and pattern recognition techniques, which will be useful to analyze bioimages. Although this paper does not provide their technical details, it will be possible to grasp their main tasks and typical tools to handle the tasks. Image processing is a large research area to improve the visibility of an input image and acquire some valuable information from it. As the main tasks of image processing, this paper introduces gray-level transformation, binarization, image filtering, image segmentation, visual object tracking, optical flow and image registration. Image pattern recognition is the technique to classify an input image into one of the predefined classes and also has a large research area. This paper overviews its two main modules, that is, feature extraction module and classification module. Throughout the paper, it will be emphasized that bioimage is a very difficult target for even state-of-the-art image processing and pattern recognition techniques due to noises, deformations, etc. This paper is expected to be one tutorial guide to bridge biology and image processing researchers for their further collaboration to tackle such a difficult target. Development, Growth & Differentiation

本文言語英語
ページ(範囲)523-549
ページ数27
ジャーナルDevelopment Growth and Differentiation
55
4
DOI
出版ステータス出版済み - 5 2013

All Science Journal Classification (ASJC) codes

  • 発生生物学
  • 細胞生物学

フィンガープリント

「Image processing and recognition for biological images」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル