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Multiscale Particle Filter through Contour Detection Framework
2016
International Journal of Science and Research (IJSR)
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One can see the following features online like integrate color and gradient information via local, textural, oriented, and profile gradient-based features for understanding and comparing.The underlying ...
model is estimated using a sequential Monte Carlo approach, and the final soft contour detection map is retrieved from the approximated trajectory distribution. ...
For the observation model, we compute the textural gradient using a histogram of R ¼ 5 _ 5 _ 5 ¼ 125 bins. For this feature, the image is defined on the CIE Lab colorspace. ...
doi:10.21275/v5i6.nov164462
fatcat:eve7ygqj5zgx5oyphntb2nix7q
Evaluation of vocabulary trees for localization in robot applications
2013
2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)
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This analysis provides guidance for choosing appropriate vocabulary in robot applications. ...
To solve this problem, an adaptive vocabulary tree has been proposed, but there has been no comparison considering the adaptive properties of the conven tional vocabulary tree. ...
In this model, some representative features are defined by clus tering whole features in the training images. These are called visual words. ...
doi:10.1109/iccas.2013.6704138
fatcat:xbjfci3oinhhhmaaaso5kcugiu
Automatic Localization and Extraction Of Optic Disc Using Darwinian PSO and Morphological Operations
2019
International journal of recent technology and engineering
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In this paper, we propose an efficient automated system for OD detection and extraction so that exudates are extracted more effectively which will improve overall accuracy in diagnosis of Diabetic Retinopathy ...
A novel multilevel thresholding optimized by Darwinian Particle swarm Optimization is adopted to detect optic disc in the fundus image. ...
LITERATURE SURVEY OD detection techniques covered in this literature utilizes various OD specific image features such as brightest region, highest image deviation, anatomical structure and distance between ...
doi:10.35940/ijrte.c6703.098319
fatcat:azobkjvnbvb2rll2ecxfft7ms4
The Scalable Distributed Two-layer Content Based Image Retrieval Data Store
2015
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems
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More advanced techniques, incorporating image content features, should be used. ...
In this paper we propose new multimedia database structure with ability of Content Based Image Retrieval which is based on our previous work: Query by Shape method (QS). ...
As a continuation of the previous research [1] , we would like to propose the Content Based Image Retrieval Database incorporating Query by Shape Method. ...
doi:10.15439/2015f272
dblp:conf/fedcsis/DeniziakMK15
fatcat:ddutcficnzcj3iey66aotlrhre
NODIS: Neural Ordinary Differential Scene Understanding
[article]
2020
arXiv
pre-print
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In this work, we interpret that formulation as Ordinary Differential Equation (ODE). ...
Semantic image understanding is a challenging topic in computer vision. It requires to detect all objects in an image, but also to identify all the relations between them. ...
Scene Graph Generation: Scene graphs are proposed in [15] for the task of image retrieval and also potential for many applications [17, 32, 18] . ...
arXiv:2001.04735v3
fatcat:cry67soiangltptjk324ctyali
Location recognition over large time lags
2015
Computer Vision and Image Understanding
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We present an extensive analysis on different features, looking for the most discriminative and most robust to the image variability induced by large time lags. ...
Moreover, we show that the described task benefits from domain adaptation. ...
U S C R I P T ods and we show promising results in both location recognition and interactive location retrieval. ...
doi:10.1016/j.cviu.2015.05.016
fatcat:yf2beaioxrcifixyovwqxgsmfi
Omnidirectional CNN for Visual Place Recognition and Navigation
[article]
2018
arXiv
pre-print
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To train a powerful O-CNN, we build a virtual world for training on a large scale. We also propose a continuous lifted structured feature embedding loss to learn the concept of distance efficiently. ...
Given a visual input, the task of the O-CNN is not to retrieve the matched place exemplar, but to retrieve the closest place exemplar and estimate the relative distance between the input and the closest ...
We thank Institute of Information Science at the Academia Sinica, MOST-107-2634-F-007-007 for their supports. We thank Tsu-Ching Hsiao for the construction of virtual environments. ...
arXiv:1803.04228v1
fatcat:evyhdpwt5vbr3oquqyaixpnpnq
Diabetic Maculopathy Detection using Image Processing
2019
International Journal of Engineering and Advanced Technology
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For diabetic retinopathy, it needs a continuous monitoring process. ...
In image processing techniques, we use image pre processing to reduce the noise and use segmentation process to extract the features of the macula. ...
[5] proposed another adaptive method for automatic segmentation of OD from color fundus images. ...
doi:10.35940/ijeat.a1102.1291s419
fatcat:uhvpnqqmbzcahlwhnxwr5fxxzy
Location Recognition Over Large Time Lags
[article]
2015
arXiv
pre-print
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We present an extensive analysis on different features, looking for the most discriminative and most robust to the image variability induced by large time lags. ...
Moreover, we show that the described task benefits from domain adaptation. ...
We use existing domain adaptation meth-ods and we show promising results in both location recognition and interactive location retrieval. The rest of the paper is organized as follows. ...
arXiv:1409.7556v3
fatcat:ymvdzu5bcvhtbnl3peyxontqd4
Similarity Based Retrieval In Case Based Reasoning For Analysis Of Medical Images
2015
Zenodo
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Content Based Image Retrieval (CBIR) coupled with Case Based Reasoning (CBR) is a paradigm that is becoming increasingly popular in the diagnosis and therapy planning of medical ailments utilizing the ...
digital content of medical images. ...
BT/PR4256/BID/7/393/2012 dated 02.08.2012) for supporting this research. ...
doi:10.5281/zenodo.1100021
fatcat:4ivotln7afgsbir3v7n5dtkz5u
Optic Disk Segmentation through Edge Density Filter in Retinal Images
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Accurate and Efficient Detection of Optic Disk (OD) is an important task for the diagnosis of various eye related diseases such as Diabetic Retinopathy, Glaucoma, and papilledema in automatic retinal image ...
Next, based on the ODP, a sub-image extraction is accomplished and it is processed for blood vessel removal through morphological technique. ...
Figure.1 features of retinal image For an efficient and early detection of DR, an accurate segmentation of OD is the preliminary step. ...
doi:10.35940/ijitee.c8989.019320
fatcat:xtsaqnk7vzatnarhit52lndpyq
A Video Representation Method Based on Multi-view Structure Preserving Embedding for Action Retrieval
2019
IEEE Access
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Applied to the content-based retrieval task, the proposed method can be combined with Euclidean distance for the comparison of low-dimensional features. ...
This paper proposes a novel and effective video representation module for content-based action retrieval framework, in which feature learning can be conducted with complementary information and intrinsic ...
MULTI-VIEW VISUAL FEATURE Color, shape and texture are the essential visual features [39] which are proven beneficial for content-based image retrieval [40] . ...
doi:10.1109/access.2019.2905641
fatcat:eqnhun66qjemfb4sru7jo6oj5y
Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration
[chapter]
2003
Lecture Notes in Computer Science
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We introduce a novel family of geometrical transformations for the non-rigid registration of medical images, called polyrigid and polyaffine. ...
Preliminary experiments on synthetic and real images already illustrate the potentialities and good properties of this approach. ...
Pitiot for providing us with the histological slices through an associated teams collaboration between Epidaure at INRIA and LONI at UCLA. ...
doi:10.1007/978-3-540-39903-2_101
fatcat:dfknjn2e6bgaxns67hb5vjrgsu
A Hybrid Machine-Crowd Approach to Photo Retrieval Result Diversification
[chapter]
2014
Lecture Notes in Computer Science
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We propose to tackle this issue by combining two approaches previously considered nonoverlapping: machine image analysis for a pre-filtering of the initial query results followed by crowd-sourcing for ...
In this paper we address the issue of optimizing the actual social photo retrieval technology in terms of users' requirements. ...
Then, we determine using the features of all images a Synthetic Representative Image Feature (SRI) by taking the average of the Euclidean distances between all image features; Step 2: for each image, I ...
doi:10.1007/978-3-319-04114-8_3
fatcat:xktlwp2qfjbhrknakyevgkxidq
Large-scale retrieval for medical image analytics: A comprehensive review
2018
Medical Image Analysis
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In this paper, we review state-of-the-art approaches for large-scale medical image analysis, which are mainly based on recent advances in computer vision, machine learning and information retrieval. ...
However, conventional methods for analyzing medical images have achieved limited success, as they are not capable to tackle the huge amount of image data. ...
Before the strong use of deep learning, hand-crafted meth-284 ods dominated the feature extraction field for several decades. ...
doi:10.1016/j.media.2017.09.007
pmid:29031831
fatcat:s6jnxawnongufgdngpjeifv3vm
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