Special Issue on Hierarchical Representations: New Results and Challenges for Image Analysis
摘要截稿:
全文截稿: 2019-05-31
影响因子: 3.255
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:人工智能 - 3区
Overview
Image representations based on hierarchical, scale-space models and other non-regular / irregular grids have become increasingly popular in image processing and computer vision over the past decades. Indeed, they allow a modeling of image contents at different (and complementary) levels of scales, resolutions and semantics. Methods based on such image representations have been able to tackle various complex challenges such as multi-scale image segmentation, image filtering, object detection, recognition, and more recently image characterization and understanding, potentially involving higher level of semantics.
The proposed virtual special issue will consider extended and updated versions of papers published at the recent ICPRAI 2018 conference as well as submissions from anybody proposing innovative methods in the field of image representation with emphasis, but not restricted to computer vision and image processing, medical imaging, 2D and 3D images, multi-modality, remote sensing image analysis, image indexation and understanding.
The main topics of this HIERARCHY virtual special issue include, but are not limited to:
- image decomposition on the basis of frequency spaces (Fourier, wavelets,etc.)
- hierarchies linked to the image space, mathematical morphology, connected operators
- evaluation of hierarchical image representations
The aim of this virtual special issue is to popularize the use of hierarchical methods in image processing and analysis. Indeed, although these methods have become very popular in computer vision over the last 20 years, their potential impact is largely underexploited in image processing and analysis.