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Multiscale Particle Filter through Contour Detection Framework

2016 International Journal of Science and Research (IJSR)  
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

Soonmin Hwang, Chaehoon Park, Yukyung Choi, Donggeun Yoo, In So Kweon
2013 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)  
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  
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

Stanisław Deniziak, Tomasz Michno, Adam Krechowicz
2015 Proceedings of the 2015 Federated Conference on Computer Science and Information Systems  
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]

Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
2020 arXiv   pre-print
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

Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars
2015 Computer Vision and Image Understanding  
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]

Tsun-Hsuan Wang, Hung-Jui Huang, Juan-Ting Lin, Chan-Wei Hu, Kuo-Hao Zeng, Min Sun
2018 arXiv   pre-print
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  
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]

Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars
2015 arXiv   pre-print
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

M. Das Gupta, S. Banerjee
2015 Zenodo  
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  
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

Ke Zhang, Hui Sun, Weili Shi, Yuwen Feng, Zhengang Jiang, Zhengang Jiang
2019 IEEE Access  
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]

Vincent Arsigny, Xavier Pennec, Nicholas Ayache
2003 Lecture Notes in Computer Science  
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]

Anca-Livia Radu, Bogdan Ionescu, María Menéndez, Julian Stöttinger, Fausto Giunchiglia, Antonella De Angeli
2014 Lecture Notes in Computer Science  
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

Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang
2018 Medical Image Analysis  
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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