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Surface Function Actives
2009
Journal of Visual Communication and Image Representation
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SFA has great advantages in terms of potential efficiency, based on its dimensionality reduction for the surface representation. ...
Utilizing implicit representations with variational framework also provides flexibility and benefits currently shared by level set frameworks. ...
Guy Shechter, and Dr. Luis F. Gutiérrez from Philips Research North America to provide the streaming ultrasound data in this paper. ...
doi:10.1016/j.jvcir.2009.06.002
fatcat:zn6cn65lfzhopfcr5f6xamhqtm
Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform
[article]
2023
arXiv
pre-print
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In this work, we propose a new algorithm based on discrete Hermite wavelets transformation (DHWT) that shows the efficiency and quality of the color images. ...
Nevertheless, image compression is an important application for transferring large files and images. ...
obtain an orthonormals set. ...
arXiv:2303.13175v1
fatcat:dlomcl32g5c25ithhstyzh6lyq
Brain Tumor Segmentation Based on Bendlet Transform and Improved Chan-Vese Model
2022
Entropy
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In this study, we propose an automated model based on Bendlet transform and improved Chan-Vese (CV) model for brain tumor segmentation. ...
Since the Bendlet system is based on the principle of sparse approximation, Bendlet transform is applied to describe the images and map images to the feature space and, thereby, first obtain the feature ...
Brain tumor segmentation methods mainly include segmentation methods based on supervised learning, semi-supervised segmentation methods, and unsupervised segmentation methods. Xu et al. ...
doi:10.3390/e24091199
pmid:36141085
pmcid:PMC9497468
fatcat:n35mczkrtvbrrfaazlfi6dwjgu
Waterline Extraction for Artificial Coast With Vision Transformers
2022
Frontiers in Environmental Science
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To estimate the effects of the two methods, we collect the high-resolution images from the web map services, and the annotations are created manually for training and test. ...
To fulfill the task, two types of vision transformers, segmentation transformers (SETR) and semantic segmentation transformers (SegFormer), are introduced as an early exploration of the potential of transformers ...
Ge et al. (2014) presented an object-oriented multi-scale segmentation method using interpretation rule sets for automated waterline extraction from remote sensing imagery. ...
doi:10.3389/fenvs.2022.799250
fatcat:ap2j2vighjg6pkpfsrt4hda2fa
Blood vessel segmentation methodologies in retinal images – A survey
2012
Computer Methods and Programs in Biomedicine
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The performance of algorithms is compared and analyzed on two publicly available databases (DRIVE and STARE) of retinal images using a number of measures which include accuracy, true positive rate, false ...
positive rate, sensitivity, specificity and area under receiver operating characteristic (ROC) curve. ...
The line-operator-filtered images on the coarser scales of the pyramid were mapped to the original (finest) level of scale by using a cubic spline. ...
doi:10.1016/j.cmpb.2012.03.009
pmid:22525589
fatcat:t6cjgne6rbckjlj7w7r4ptx6ui
Resolution learning in deep convolutional networks using scale-space theory
[article]
2021
arXiv
pre-print
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We evaluate our N-Jet layer on both classification and segmentation, and we show that learning sigma is especially beneficial for inputs at multiple sizes. ...
We use scale-space theory to obtain a self-similar parametrization of filters and make use of the N-Jet: a truncated Taylor series to approximate a filter by a learned combination of Gaussian derivative ...
We can find at every layer the appropriate subsampling level.
Experiment 1 ( 1 B). Segmentation with U-Net Experiment 1.1(B): Segmentation of multi-scale inputs. ...
arXiv:2106.03412v2
fatcat:aspdfa57cneo3oskotq3jpdsoe
Extended Hermite Radial Basis Functions for Sparse Contours Interpolation
2020
IEEE Access
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Based on the theory of Hermite-Birkhoff interpolation, to construct more flexible geometry constraints, we incorporate the differential operator and difference operator to construct interpolation conditions ...
Similar to the differential operator, the difference operator is used to construct gradient constraint and tangent constraint. ...
[24] improved the previous estimation method, and proposed a novel contour-based volume image segmentation technique using Bilateral Hermite Radial Basis Functions (B-HRBF). ...
doi:10.1109/access.2020.2982802
fatcat:regq2ds6gzbmjold7sr7qw5m5i
Multi-scale segmentation of neurons based on one-class classification
2016
Journal of Neuroscience Methods
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Our segmentation method is based on one-class classification where the 3D image stack is analyzed at different scales. ...
First, a multi-scale approach is proposed to compute the Laplacian of the 3D image stack. The Laplacian is used to select a training set consisting of background points. ...
Recently, our team [12] proposed a semi-automatic method based on one-class classification for the segmentation of neurons. ...
doi:10.1016/j.jneumeth.2016.03.019
pmid:27038663
fatcat:udbiph5qardo7fj5a2j6qcm64i
Fundus Image Analysis to Detect Abnormalities in Diabetic Retinopathy using Computer Aided Design Tools - A Review
2020
International Journal of Engineering and Advanced Technology
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Filtering and morphological operators enhance image contrast and interested region can be extracted using segmentation techniques from the fundus image of the retina. ...
Many researchers are working to develop early detection techniques, which may reduce the risk of vision loss using image-processing techniques like image enhancement and segmentation. ...
A new automated method developed to detect blood vessels, which uses directional differential operators to extract the skeleton of main vessel and vessel direction is emphasized using multi directional ...
doi:10.35940/ijeat.c6366.089620
fatcat:vm775vmscfaz5j4a2kwm4ylbt4
Optimization Techniques Are Best Choice to Segment Blood Vessels from Retinal Fundus Images
2019
International Journal of Engineering and Advanced Technology
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Blood vessel segmentation in retinal fundus images is an adequate way and takes a critical role in medication and diagnosis of distinct retinal-related diseases and disorders. ...
In this paper, a comprehensive review of various categories of segmentation techniques is presented with main focus on proving the magnificence of optimization techniques as the right choice in the process ...
OPTIMIZATION TECHNIQUES IN SEGMENTATION To find an optimum or unconstrained solution of differentiable functions, optimization methods are used and the purpose of optimization is to achieve the efficient ...
doi:10.35940/ijeat.f9234.109119
fatcat:cicjakgsybhs3hwtjsjpytejtq
Hermite Interpolation of Implicit Surfaces with Radial Basis Functions
2009
2009 XXII Brazilian Symposium on Computer Graphics and Image Processing
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with previous efforts based on statistical learning theory. ...
We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured points and their corresponding ...
Silva for participating in fruitful and insightful discussions and also for kindly providing computational resources. ...
doi:10.1109/sibgrapi.2009.11
dblp:conf/sibgrapi/MacedoGV09
fatcat:n5wefq342zds3lgehy6asukf7u
Curvelets based feature extraction of handwritten shapes for ancient manuscripts classification
2007
Document Recognition and Retrieval XIV
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The relevance of the signature is quantified with a CBIR (content based image retrieval) system that compares request images and database images candidates. ...
We propose a global approach of writers' classification based on Curvelets based features in relation with two discriminative shapes properties, the curvature and the orientation. ...
from the CERPI of the ENS-Lettres of Lyon to have helped us to understand the genesis of the Montesquieu's corpus and to have guided to us towards the definition of robust criteria for styles differentiation ...
doi:10.1117/12.704450
dblp:conf/drr/JoutelEBE07
fatcat:ifftqvsqffch7oe4piriha3zcm
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
[article]
2022
arXiv
pre-print
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This paper reviews the applications of image processing technology based on MV in lymphoma histopathological images in recent years, including segmentation, classification and detection. ...
Finally, the current methods are analyzed, some more potential methods are proposed, and further prospects are made. ...
We also thank Miss Zixian Li and Mr. Guoxian Li for their important discussion. ...
arXiv:2201.08550v2
fatcat:tzc4oiurzngkrlke4w4zt4f26u
Local Jet Pattern: A Robust Descriptor for Texture Classification
[article]
2018
arXiv
pre-print
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Methods based on local image features have recently shown promise for texture classification tasks, especially in the presence of large intra-class variation due to illumination, scale, and viewpoint changes ...
All DtGs responses up to second order together preserves the intrinsic local image structure, and achieves invariance to scale, rotation, and reflection. ...
Chaudhuri and Sarkar proposed a technique for texture recognition based on differential box-counting (DBC) [7] based algorithm. ...
arXiv:1711.10921v3
fatcat:k445joqrozfgfpggtfrxqxysh4
Lane-Level Road Network Generation Techniques for Lane-Level Maps of Autonomous Vehicles: A Survey
2019
Sustainability
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Then, an overview of the lane-level road geometry extraction methods and mathematical modeling of a lane-level road network is presented. ...
A large amount of research has been performed on lane-level road network generation based on various on-board systems. ...
Higher detection rate
•
Labels the training set manually
•
Time-consuming
GRF Images, Hough
Transform [59]
•
Based on the strength of
reflections of GRF images
•
Computation efficiency ...
doi:10.3390/su11164511
fatcat:zvovv5wnhndehlxi5hgou75cie
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