Image registration with Fourier-based image correlation: A comprehensive review of developments and applications
Fourier-based image correlation is a powerful area-based image registration technique,
which involves aligning images based on a translation model or similarity model by means …
which involves aligning images based on a translation model or similarity model by means …
[HTML][HTML] Methods and challenges in shot boundary detection: a review
The recent increase in the number of videos available in cyberspace is due to the availability
of multimedia devices, highly developed communication technologies, and low-cost storage …
of multimedia devices, highly developed communication technologies, and low-cost storage …
A fast feature extraction algorithm for image and video processing
SH Abdulhussain, BM Mahmmod… - … joint conference on …, 2019 - ieeexplore.ieee.org
Medical images and videos are utilized to discover, diagnose and treat diseases. Managing,
storing, and retrieving stored images effectively are considered important topics. The rapid …
storing, and retrieving stored images effectively are considered important topics. The rapid …
Shot boundary detection based on orthogonal polynomial
Shot boundary detection (SBD) is a substantial step in video content analysis, indexing,
retrieval, and summarization. SBD is the process of automatically partitioning video into its …
retrieval, and summarization. SBD is the process of automatically partitioning video into its …
Segmentation of hyperspectral images via subtractive clustering and cluster validation using one-class support vector machines
This paper presents an unsupervised hyperspectral image segmentation with a new
subtractive-clustering-based similarity segmentation and a novel cluster validation method …
subtractive-clustering-based similarity segmentation and a novel cluster validation method …
Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations
This letter presents unsupervised hyperspectral-image classification based on fuzzy-
clustering algorithms that spatially exploit membership relations. Not only is the conventional …
clustering algorithms that spatially exploit membership relations. Not only is the conventional …
Unsupervised segmentation of hyperspectral images using modified phase correlation
This letter presents hyperspectral image segmentation based on the phase-correlation
measure of subsampled hyperspectral data, which is referred to as modified phase …
measure of subsampled hyperspectral data, which is referred to as modified phase …
DCT sign-only correlation with application to image matching and the relationship with phase-only correlation
A close relationship between the sign information of discrete cosine transform (DCT)
coefficients and the phase term of discrete Fourier transform coefficient is explained. From …
coefficients and the phase term of discrete Fourier transform coefficient is explained. From …
Shot boundary detection in MPEG videos using local and global indicators
Shot boundary detection (SBD) plays important roles in many video applications. In this
letter, we describe a novel method on SBD operating directly in the compressed domain …
letter, we describe a novel method on SBD operating directly in the compressed domain …
Phase-based fine-grained change detection
Detecting fine-grained changes among a set of images taken at different times is a
challenging problem, which is important for the applications such as high-value scene …
challenging problem, which is important for the applications such as high-value scene …