Affective image classification using features inspired by psychology and art theory
J Machajdik, A Hanbury - Proceedings of the 18th ACM international …, 2010 - dl.acm.org
Images can affect people on an emotional level. Since the emotions that arise in the viewer
of an image are highly subjective, they are rarely indexed. However there are situations …
of an image are highly subjective, they are rarely indexed. However there are situations …
Automatic image segmentation by dynamic region merging
This paper addresses the automatic image segmentation problem in a region merging style.
With an initially oversegmented image, in which many regions (or superpixels) with …
With an initially oversegmented image, in which many regions (or superpixels) with …
Segmentation of SBFSEM volume data of neural tissue by hierarchical classification
Three-dimensional electron-microscopic image stacks with almost isotropic resolution allow,
for the first time, to determine the complete connection matrix of parts of the brain. In spite of …
for the first time, to determine the complete connection matrix of parts of the brain. In spite of …
Incremental algorithm for hierarchical minimum spanning forests and saliency of watershed cuts
We study hierarchical segmentations that are optimal in the sense of minimal spanning
forests of the original image. We introduce a region-merging operation called uprooting, and …
forests of the original image. We introduce a region-merging operation called uprooting, and …
Photography coupled with self-propagating chemical cascades: differentiation and quantitation of G-and V-nerve agent mimics via chromaticity
Photography was employed for the quantitation and differentiation of G-and V-series nerve
agent mimics with the use of self-propagating cascades. Fluoride anion and thiols, released …
agent mimics with the use of self-propagating cascades. Fluoride anion and thiols, released …
The watershed concept and its use in segmentation: a brief history
F Meyer - arXiv preprint arXiv:1202.0216, 2012 - arxiv.org
The watershed is one of the most used tools in image segmentation. We present how its
concept is born and developed over time. Its implementation as an algorithm or a hardwired …
concept is born and developed over time. Its implementation as an algorithm or a hardwired …
Image segmentation by region based and watershed algorithms
A Hanbury - Wiley Encyclopedia of Computer Science and …, 2007 - Wiley Online Library
The segmentation of an image is defined as its partition into regions, in which the regions
satisfy some specified criteria. First, two region‐based image segmentation techniques are …
satisfy some specified criteria. First, two region‐based image segmentation techniques are …
Two tree-based methods for the waterfall
SM Golodetz, C Nicholls, ID Voiculescu, SA Cameron - Pattern Recognition, 2014 - Elsevier
The waterfall transform is a hierarchical segmentation technique based on the watershed
transform from the field of mathematical morphology. Watershed-based techniques are …
transform from the field of mathematical morphology. Watershed-based techniques are …
Watershed segmentation of remotely sensed images based on a supervised fuzzy pixel classification
Remotely sensed images are more and more precise (spatial resolution under 1 meter). For
these images, objects of interest contains several pixels. Generally a segmentation method …
these images, objects of interest contains several pixels. Generally a segmentation method …
PDE based algorithms for smooth watersheds
Watershed segmentation is useful for a number of image segmentation problems with a
wide range of practical applications. Traditionally, the tracking of the immersion front is done …
wide range of practical applications. Traditionally, the tracking of the immersion front is done …