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Identifying semi-Invariant Features on Mouse Contours
2008
Procedings of the British Machine Vision Conference 2008
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This paper addresses the problem of reliably fitting an orientated model to video data of laboratory mice assays by specifically locating semi-invariant points on an extracted outline. ...
Using this contour, we compare three different approaches at locating head, tail-tip and tail-base features that allow us to constrain orientation. ...
We consider three different approaches to finding suitably invariant -and consequently reliable -features on mouse contour data. ...
doi:10.5244/c.22.84
dblp:conf/bmvc/CrookLHA08
fatcat:r2el6v5sajcnfh7p3y32qwxtou
Identifying semi-Invariant Features on Mouse Contours
2008
Procedings of the British Machine Vision Conference 2008
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We report convincing registration and retexturing results on cartoon videos. ...
However, in cases such as cartoon videos, there is a high number of smooth contours and only little or spurious texture. ...
Based on these criteria the reference frame is chosen using a semi automatic heuristic that presents a selection of candidate frames and lets the user make the final decision. ...
doi:10.5244/c.22.91
dblp:conf/bmvc/TiilikainenBO08
fatcat:jo3nc7wu4ndgla3xtru2f2yzry
Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer
[article]
2017
arXiv
pre-print
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One of the earliest steps in using QUS methods is contouring a region of interest (ROI) inside the tumour in ultrasound B-mode images. ...
The results demonstrated that the proposed method can potentially be used as the first stage in a computer-assisted cancer response prediction system for semi-automated contouring of breast tumours. ...
Most of these methods, when applied to digital images, rely on the availability of invariant features. ...
arXiv:1701.03779v1
fatcat:f5lq62puknc4dbp5aq4t6kqnyq
Algorithm for Automatic Behavior Quantification of Laboratory Mice Using High-Frame-Rate Videos
2011
SICE Journal of Control Measurement and System Integration
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Even when a mouse changes its posture and orientation relative to the camera, these features can still be extracted from the shift-and orientation-invariant shape of the mouse silhouette by using the polar ...
Multiple repetitive motions can always be identified from periodic frame-differential image features in four segmented regions-the head, left side, right side, and tail. ...
[10] identified semi-invariant features in mouse contours for robust behavior recognition. Fröhlich et al. [11] applied advanced machine learning methods to analyze rat behavior. ...
doi:10.9746/jcmsi.4.322
fatcat:kduf2odhvffk7evtireq2vn54a
Shape Matching Based on Multi-scale Invariant Features
2019
IEEE Access
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of contour sequence, and shape geometry feature. ...
INDEX TERMS Shape matching, improved discrete curve evolution, multi-scale invariant features, cyclic Smith-Waterman algorithm. ...
of the mouse. ...
doi:10.1109/access.2019.2935879
fatcat:tpfrpvpyovcmxone5ngbjzxnn4
Geometry Processing of Conventionally Produced Mouse Brain Slice Images
[article]
2017
arXiv
pre-print
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These image pairs are aligned using a geometric approach through contour images. ...
This is achieved first by constructing a virtual 3D mouse brain model from annotated slices of Allen Reference Atlas (ARA). ...
ACKNOWLEDGMENTS The authors would like to thank Dr Hong-Wei Dong for providing the mouse brain atlas images. ...
arXiv:1712.09684v1
fatcat:md6zahkcbzfqzduz7djn5er2di
Semi-automatic segmentation of subcutaneous tumours from micro-computed tomography images
2013
Physics in Medicine and Biology
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Local phase feature detection is used to highlight the faint boundary features, and a level set-based active contour is used to generate smooth contours that fit the sparse boundary features. ...
These are used as the basis of our semi-automatic segmentation algorithm. ...
By using an intensity-invariant feature detection method to emphasize these features, along with an active contour with a strong smoothness constraint, it is possible to develop an algorithm that can automatically ...
doi:10.1088/0031-9155/58/22/8007
pmid:24168809
pmcid:PMC4077626
fatcat:huabrizucbbw5mp6mimqb55gkq
InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes
2020
Eurographics Workshop on Visual Computing for Biomedicine
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The optional scale-invariance is achieved by scaling features to z-scores, while invariance under parameterization shifts is achieved by using elliptic Fourier analysis (EFA) on the resulting curvature ...
The framework is based on a novel shape descriptor of closed contours relying on a geodesically uniform resampling of discrete curves to allow for discrete differential-geometry-based computation of unsigned ...
In addition, the optional feature scaling step (3.5) ensures invariance under uniform scaling. ...
doi:10.2312/vcbm.20201173
dblp:conf/vcbm/AgusACBYPGS20
fatcat:l2s7zbn7rrh2fjrcxfbo4iq5qq
Iterate Cluster: Iterative Semi-Supervised Action Recognition
[article]
2020
arXiv
pre-print
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We propose a novel system for active semi-supervised feature-based action recognition. Given time sequences of features tracked during movements our system clusters the sequences into actions. ...
We test the approach on human skeleton-based action recognition benchmarks assuming that only annotations chosen by our method are available and on mouse movements videos recorded in lab experiments. ...
PC on UWA3D dataset and and also on Mouse dataset in Table 2 . ...
arXiv:2006.06911v1
fatcat:qnxmqge6sfcqlnhxacdomqqjwu
Live-wire 3D medical images segmentation
[article]
2013
arXiv
pre-print
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This report also proposes two improvements to the original method, path heating and a new graph edge feature function based on variance of path properties along the boundary. ...
User's time and involvement is further reduced by allowing him to specify object contours in planes orthogonal to the slices. ...
The goal is to identify features of the edge pixels and use them in estimating the probability of a pixel belonging to an edge. ...
arXiv:1306.3415v1
fatcat:s6fedztfy5cxtgcmfrpkonbjge
A Hybrid Detection and Classification System for Human Motion Analysis
[chapter]
2002
Hybrid Information Systems
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The axis crossover vector method is used for translating the active contour into a scale-. location-, resolution-and rotation-invariant vector suited for input to a neural network, and we identify the ...
Users would initialise a contour loosely around the target object in an image by using a mouse to place the contour s control points in the image. ...
Potential uses for this application would be the medical domain or semi-automatic CCTV systems, providing an indication to a human observer that a certain event has occurred. ...
doi:10.1007/978-3-7908-1782-9_11
fatcat:zv6k76powvbgrer5juvwwjdpne
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
[article]
2021
arXiv
pre-print
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The HR-Kidney dataset presented in this work bridges this gap by providing 1.7 TB of artefact-corrected synchrotron radiation-based X-ray phase-contrast microtomography images of whole mouse kidneys and ...
These features were further convolved with a low pass filter kernel to enforce the emergence of local invariances. The generated feature maps were fed to a dense, feed-forward neural network. ...
Other datasets for machine learning-based segmentation of high-resolution vascular data on the whole mouse organ scale, such as TubeMap 16 and VesSAP 17 , are based on 3D light sheet microscopy images ...
arXiv:2108.02226v1
fatcat:zaavornzurg4jipf7jppn6jxhi
DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations
2019
Neuropsychopharmacology
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analysis, DeepSqueak was able to reduce false positives, increase detection recall, dramatically reduce analysis time, optimize automatic syllable classification, and perform automatic syntax analysis on ...
DeepSqueak was engineered to allow non-experts easy entry into USV detection and analysis yet is flexible and adaptable with a graphical user interface and offers access to numerous input and analysis features ...
In MUPET, clustering is applied on the spectral magnitude of the segmented syllables, whereas clustering in DeepSqueak is amplitude invariant and contour-based. ...
doi:10.1038/s41386-018-0303-6
pmid:30610191
pmcid:PMC6461910
fatcat:f5uxh2qsn5h7vhxc6mnajhrwbu
HARLEY: A Semi-Automated detection of foci in fluorescence images of yeast
[article]
2021
bioRxiv
pre-print
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After a brief model training on ~20 cells the detection of foci is fully automated and based on closed loops in intensity contours, constrained only by the a-priori known size of the features of interest ...
Candidate features are annotated with a set of geometrical and intensity-based properties to train a kernel Support Vector Machine to recognize features of interest. ...
Detected maxima thus not only contain spatial coordinates of the feature, but also a scale corresponding to the size of the feature making them scale invariant. ...
doi:10.1101/2021.11.29.470484
fatcat:aq7obhn5znanzjgijrjexrdbbm
Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation
2021
Symmetry
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) network, which is based on a symmetric encoder–decoder. ...
The premise of related analysis is to determine the brain region of each site on the brain slice by referring to the Allen Reference Atlas (ARA), namely the regional localization of the brain slice. ...
(2) Using Photoshop and ImageJ image processing software, the contours of the ARA are extracted and corrected to realize a simple semi-automatic region division of brain slice images. ...
doi:10.3390/sym13060929
fatcat:f2onhdskpzdxlfere3okxhokdm
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