In this paper, we consider the application of spatial/ spatial-frequency representations to texture-based image segmentation and to perceptual grouping, a related phenomenon. We discuss a system for segmentation and grouping, based on the pseudo-Wigner distribution (PWD) a discrete approximation to th...
3.1 Image Representations 在本文的方法中，图像有两个表示视图，即图像patch和视觉token。这两种类型分...
5). Note that 2D and 3D representations will be sparser than 1D representation. If we know that only few dominant colors (say 3–5) will be in an image, it is sufficient to use 1D representation. For instance, a typical application may use 24 number of bins for each of Hue, ...
et al. Image segmentation using graph representations and lo- cal appearance and shape models. In: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition. Berlin, Heidelberg: Springer-Verlag, 2009. (GbRPR '09), p. 353-365....
However, prior arts miss learning the cross-scale dependencies of different pixels, the semantic correspondence of different labels, and the consistency of the feature representations and semantic embeddings, which are critical for biomedical segmentation. In this paper, we tackle the above issues by ...
Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived ......
the following chapters, we demonstrate why multiple subspaces can be a very useful class of models for image processing and how the subspace clustering techniques may facilitate many important image processing tasks, such as image representation, compression, image segmentation, and video segmentation.DOI...
Residual Representations. In image recognition, VLAD [18] is a representation that encodes by the residual vectors with respect to a dictionary, and Fisher Vector [30] can be formulated as a probabilistic version [18] of VLAD. Both of them are powerful shallow representations for image retrieval...
A curated list of resources on handling Rolling Shutter effects and Radial Distortions - subeeshvasu/Awesome-Image-Distortion-Correction
for dense prediction, such as segmenting in challenging contexts. In this paper, we propose HiFormer, a novel method that efficiently bridges a CNN and a transformer for medical image segmentation. Specifically, we design two multi-scale feature representations using the seminal Swin Transformer ...