Machine learning methods for strong image segmentation

强图像分割的机器学习方法

• 批准号: 327476-2009
• 负责人: Gondra, Iker
• 金额: $ 1.38万
• 依托单位: St. Francis Xavier University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503362
• 关键词: Machine; learning; methods; strong; image

Over the last four decades, the development of image segmentation algorithms has been an area of considerable research activity. The reason for such significant attention to this problem lies in its practical importance. Image segmentation is a key step towards high-level tasks such as image understanding and serves in a wide range of applications including object recognition, scene analysis or content-based image/video retrieval.

在过去的四十年里，图像分割算法的发展一直是一个相当活跃的研究领域。这个问题之所以引起如此大的关注，就在于它的现实重要性。图像分割是实现图像理解等高层次任务的关键一步，广泛应用于目标识别、场景分析或基于内容的图像/视频检索等领域。