Log in

Relevant bibliographies by topics / SEGMENTATION SYSTEM / Journal articles

To see the other types of publications on this topic, follow the link: SEGMENTATION SYSTEM.

Journal articles on the topic 'SEGMENTATION SYSTEM'

Author: Grafiati

Published: 11 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'SEGMENTATION SYSTEM.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Liu, Qiming, Qifan Lu, Yezi Chai, et al. "Radiomics-Based Quality Control System for Automatic Cardiac Segmentation: A Feasibility Study." Bioengineering 10, no. 7 (2023): 791. http://dx.doi.org/10.3390/bioengineering10070791.

Full text

Abstract:

Purpose: In the past decade, there has been a rapid increase in the development of automatic cardiac segmentation methods. However, the automatic quality control (QC) of these segmentation methods has received less attention. This study aims to address this gap by developing an automatic pipeline that incorporates DL-based cardiac segmentation and radiomics-based quality control. Methods: In the DL-based localization and segmentation part, the entire heart was first located and cropped. Then, the cropped images were further utilized for the segmentation of the right ventricle cavity (RVC), myo

APA, Harvard, Vancouver, ISO, and other styles

2

Meenakshi BK, Meenakshi BK, and Prasad M. R. Prasad M R. "Survey on Segmentation to Iris Recognition System." International Journal of Scientific Research 3, no. 4 (2012): 514–15. http://dx.doi.org/10.15373/22778179/apr2014/184.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Gurari, Danna, Mehrnoosh Sameki, and Margrit Betke. "Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (September 21, 2016): 59–68. http://dx.doi.org/10.1609/hcomp.v4i1.13294.

Full text

Abstract:

Crowdsourced demarcations of object boundaries in images (segmentations) are important for many vision-based applications. A commonly reported challenge is that a large percentage of crowd results are discarded due to concerns about quality. We conducted three studies to examine (1) how does the quality of crowdsourced segmentations differ for familiar everyday images versus unfamiliar biomedical images?, (2) how does making familiar images less recognizable (rotating images upside down) influence crowd work with respect to the quality of results, segmentation time, and segmentation detail?, a

APA, Harvard, Vancouver, ISO, and other styles

4

Mendoza Garay, Juan Ignacio. "Segmentation boundaries in accelerometer data of arm motion induced by music: Online computation and perceptual assessment." Human Technology 18, no. 3 (2022): 250–66. http://dx.doi.org/10.14254/1795-6889.2022.18-3.4.

Full text

Abstract:

Segmentation is a cognitive process involved in the understanding of information perceived through the senses. Likewise, the automatic segmentation of data captured by sensors may be used for the identification of patterns. This study is concerned with the segmentation of dancing motion captured by accelerometry and its possible applications, such as pattern learning and recognition, or gestural control of devices. To that effect, an automatic segmentation system was formulated and tested. Two participants were asked to ‘dance with one arm’ while their motion was measured by an accelerometer.

APA, Harvard, Vancouver, ISO, and other styles

5

Sunoqrot, Mohammed R. S., Kirsten M. Selnæs, Elise Sandsmark, et al. "A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI." Diagnostics 10, no. 9 (2020): 714. http://dx.doi.org/10.3390/diagnostics10090714.

Full text

Abstract:

Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial step of CAD for prostate cancer, but visual inspection is still required to detect poorly segmented cases. The aim of this work was therefore to establish a fully automated quality control (QC) system for prostate segmentation based on T2-weighted MRI. Four different deep learning-based segmentation methods were used to segment the prostate for 585

APA, Harvard, Vancouver, ISO, and other styles

6

Joseph, E., A. M. Aibinu, B. A. Sadiq, H. Bello Salau, and M. J. E. Salami. "Scorpion image segmentation system." IOP Conference Series: Materials Science and Engineering 53 (December 20, 2013): 012055. http://dx.doi.org/10.1088/1757-899x/53/1/012055.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Mauricaite, Radvile, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi, and Matthew Williams. "Fully automated deep learning system for detecting sarcopenia on brain MRI in glioblastoma." Neuro-Oncology 23, Supplement_4 (2021): iv13. http://dx.doi.org/10.1093/neuonc/noab195.031.

Full text

Abstract:

Abstract Aims Glioblastoma multiforme (GBM) is an aggressive brain malignancy. Performance status is an important prognostic factor but is subjectively evaluated, resulting in inaccuracy. Objective markers of frailty/physical condition, such as measures of skeletal muscle mass can be evaluated on cross-sectional imaging and is associated with cancer survival. In GBM, temporalis muscle has been identified as a skeletal muscle mass surrogate and a prognostic factor. However, current manual muscle quantification is time consuming, limiting clinical adoption. We previously developed a deep learnin

APA, Harvard, Vancouver, ISO, and other styles

8

Wang, Zhengfei, Lai Wang, Fu'an Xiao, Qingsong Chen, Liming Lu, and Jiaming Hong. "A Traditional Chinese Medicine Traceability System Based on Lightweight Blockchain." Journal of Medical Internet Research 23, no. 6 (2021): e25946. http://dx.doi.org/10.2196/25946.

Full text

Abstract:

Background Recently, the problem of traditional Chinese medicine (TCM) safety has attracted attention worldwide. To prevent the spread of counterfeit drugs, it is necessary to establish a drug traceability system. A traditional drug traceability system can record the whole circulation process of drugs, from planting, production, processing, and warehousing to use by hospitals and patients. Once counterfeit drugs are found, they can be traced back to the source. However, traditional drug traceability systems have some drawbacks, such as failure to prevent tampering and facilitation of sensitive

APA, Harvard, Vancouver, ISO, and other styles

9

Allioui, Hanane, Mohamed Sadgal, and Aziz El Fazziki. "An Improved Image Segmentation System." Journal of communications software and systems 16, no. 2 (2020): 143–55. http://dx.doi.org/10.24138/jcomss.v16i2.830.

Full text

Abstract:

In this paper, we present a solution-based cooperation approach for strengthening the image segmentation.This paper proposes a cooperative method relying on Multi-Agent System. The main contribution of this work is to highlight the importance of cooperation between the contour and region growing based on Multi-Agent System (MAS). Consequently, agents’ interactions form the main part of the whole process for image segmentation. Similar works were proposed to evaluate the effectiveness of the proposed solution. The main difference is that our Multi-Agent System can perform the segmentation proce

APA, Harvard, Vancouver, ISO, and other styles

10

Baujard, Olivier. "KISS: a multiagent segmentation system." Optical Engineering 32, no. 6 (1993): 1235. http://dx.doi.org/10.1117/12.134190.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Loizou, Christos P., and Marios Pantziaris. "An integrated system for the complete segmentation of the common carotid artery bifurcation in ultrasound images." Journal of Biomedical Engineering and Informatics 1, no. 1 (2015): 11. http://dx.doi.org/10.5430/jbei.v1n1p11.

Full text

Abstract:

The complete segmentation of the common carotid artery (CCA) bifurcation in ultrasound images is important for the evaluation of atherosclerosis disease and the quantification of the risk of stroke. The current research work further evaluates and validates a semi-automated (SA) snake’s based segmentation system suitable for the complete segmentation of the CCA bifurcation in two-dimensional (2D) ultrasound images. The proposed system semi-automatically estimates the intima-media thickness (IMT), the atherosclerotic carotid plaque borders and dimensions, the internal carotid artery (ICA) origin

APA, Harvard, Vancouver, ISO, and other styles

12

Carmo, Diedre, Israel Campiotti, Lívia Rodrigues, et al. "Rapidly deploying a COVID-19 decision support system in one of the largest Brazilian hospitals." Health Informatics Journal 27, no. 3 (2021): 146045822110330. http://dx.doi.org/10.1177/14604582211033017.

Full text

Abstract:

The COVID-19 pandemic generated research interest in automated models to perform classification and segmentation from medical imaging of COVID-19 patients, However, applications in real-world scenarios are still needed. We describe the development and deployment of COVID-19 decision support and segmentation system. A partnership with a Brazilian radiologist consortium, gave us access to 1000s of labeled computed tomography (CT) and X-ray images from São Paulo Hospitals. The system used EfficientNet and EfficientDet networks, state-of-the-art convolutional neural networks for natural images cla

APA, Harvard, Vancouver, ISO, and other styles

13

Muhadi, Nur, Ahmad Abdullah, Siti Bejo, Muhammad Mahadi, and Ana Mijic. "Image Segmentation Methods for Flood Monitoring System." Water 12, no. 6 (2020): 1825. http://dx.doi.org/10.3390/w12061825.

Full text

Abstract:

Flood disasters are considered annual disasters in Malaysia due to their consistent occurrence. They are among the most dangerous disasters in the country. Lack of data during flood events is the main constraint to improving flood monitoring systems. With the rapid development of information technology, flood monitoring systems using a computer vision approach have gained attention over the last decade. Computer vision requires an image segmentation technique to understand the content of the image and to facilitate analysis. Various segmentation algorithms have been developed to improve result

APA, Harvard, Vancouver, ISO, and other styles

14

Zhao, Xin Bo, Xiao Chun Zou, and Zhong Ma. "An Efficient Sport Video Segmentation System." Key Engineering Materials 467-469 (February 2011): 2042–47. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.2042.

Full text

Abstract:

Digital sport video segmentation is an active area of research. And such an efficient sport video segmentation system is necessary. The system employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. Project frames with motion parameters, the corresponding frames were connected and then stitched into a panoramic image according to infer the frames on a 2D manifold. For accurate alignment, we iterate between the motion estimator and topology determination to optimized parameters. Accuracy panorama composition

APA, Harvard, Vancouver, ISO, and other styles

15

Wan, Guo Chun, Meng Meng Li, He Xu, Wen Hao Kang, Jin Wen Rui, and Mei Song Tong. "XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net." Sensors 20, no. 16 (2020): 4473. http://dx.doi.org/10.3390/s20164473.

Full text

Abstract:

Partially defective fingerprint image (PDFI) with poor performance poses challenges to the automated fingerprint identification system (AFIS). To improve the quality and the performance rate of PDFI, it is essential to use accurate segmentation. Currently, most fingerprint image segmentations use methods with ridge orientation, ridge frequency, coherence, variance, local gradient, etc. This paper proposes a method of XFinger-Net for segmenting PDFIs. Based on U-Net, XFinger-Net inherits its characteristics. The attention gate with fewer parameters is used to replace the cascaded network, which

APA, Harvard, Vancouver, ISO, and other styles

16

Jaware, Tushar H., K. B. Khanchandani, and Anita Zurani. "An Accurate Automated Local Similarity Factor-Based Neural Tree Approach toward Tissue Segmentation of Newborn Brain MRI." American Journal of Perinatology 36, no. 11 (2018): 1157–70. http://dx.doi.org/10.1055/s-0038-1675375.

Full text

Abstract:

Background Segmentation of brain MR images of neonates is a primary step for assessment of brain evolvement. Advanced segmentation techniques used for adult brain MRI are not companionable for neonates, due to extensive dissimilarities in tissue properties and head structure. Existing segmentation methods for neonates utilizes brain atlases or requires manual elucidation, which results into improper and atlas dependent segmentation. Objective The primary objective of this work is to develop fully automatic, atlas free, and robust system to segment and classify brain tissues of newborn infants

APA, Harvard, Vancouver, ISO, and other styles

17

Win, Htwe Pa Pa, Phyo Thu Thu Khine, and Khin Nwe Ni Tun. "Character Segmentation Scheme for OCR System." International Journal of Computer Vision and Image Processing 1, no. 4 (2011): 50–58. http://dx.doi.org/10.4018/ijcvip.2011100104.

Full text

Abstract:

Automatic machine-printed Optical Characters or texts Recognizers (OCR) are highly desirable for a multitude of modern IT applications, including Digital Library software. However, the state of the art OCR systems cannot do for Myanmar scripts as the language poses many challenges for document understanding. Therefore, the authors design an Optical Character Recognition System for Myanmar Printed Document (OCRMPD), with several proposed techniques that can automatically recognize Myanmar printed text from document images. In order to get more accurate system, the authors propose the method for

APA, Harvard, Vancouver, ISO, and other styles

18

Fujimoto, K., M. Musashi, and T. Yoshinaga. "Discrete-time dynamic image segmentation system." Electronics Letters 44, no. 12 (2008): 727. http://dx.doi.org/10.1049/el:20080546.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

ALGINAHI, Y., D. FEKRI, and M. A. SID-AHMED. "A NEURAL-BASED PAGE SEGMENTATION SYSTEM." Journal of Circuits, Systems and Computers 14, no. 01 (2005): 109–22. http://dx.doi.org/10.1142/s0218126605002192.

Full text

Abstract:

Page segmentation is necessary for optical character recognition and very useful in document image manipulation. This paper describes two classification methods, a modified linear adaptive method and a proposed neural network system that classifies an image into text, halftone image (photos, dark images, etc.), and graphics (graphs, tables, flowcharts, etc.). The blocks were segmented using the Run Length Smearing Algorithm. The smearing process was done automatically by fixing the threshold values for smearing. Features are extracted from the segmented blocks for classification into text, gra

APA, Harvard, Vancouver, ISO, and other styles

20

Giustolisi, O., and L. Ridolfi. "Modularity Index for Hydraulic System Segmentation." Procedia Engineering 89 (2014): 1152–59. http://dx.doi.org/10.1016/j.proeng.2014.11.240.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Subasic, M., S. Loncaric, and J. Birchbauer. "Expert system segmentation of face images." Expert Systems with Applications 36, no. 3 (2009): 4497–507. http://dx.doi.org/10.1016/j.eswa.2008.05.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Lareyre, Fabien, Cédric Adam, Marion Carrier, and Juliette Raffort. "Automated Segmentation of the Human Abdominal Vascular System Using a Hybrid Approach Combining Expert System and Supervised Deep Learning." Journal of Clinical Medicine 10, no. 15 (2021): 3347. http://dx.doi.org/10.3390/jcm10153347.

Full text

Abstract:

Background: Computed tomography angiography (CTA) is one of the most commonly used imaging technique for the management of vascular diseases. Here, we aimed to develop a hybrid method combining a feature-based expert system with a supervised deep learning (DL) algorithm to enable a fully automatic segmentation of the abdominal vascular tree. Methods: We proposed an algorithm based on the hybridization of a data-driven convolutional neural network and a knowledge-based model dedicated to vascular system segmentation. By using two distinct datasets of CTA from patients to evaluate independence t

APA, Harvard, Vancouver, ISO, and other styles

23

Shankar, K., Dr S. Srinivasan, and Dr T. S. Sivakumaran K. Madhavi Priya. "Discovering Anomalies Based on Saliency Detection and Segmentation in Surveillance System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (2017): 227–31. http://dx.doi.org/10.31142/ijtsrd5871.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Kaur, Gurpreet, and Sonika Jindal. "A REVIEW ON IMAGE SEGMENTATION USING GPU." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 10 (2016): 7160–63. http://dx.doi.org/10.24297/ijct.v15i10.4502.

Full text

Abstract:

Image Segmentations play a heavy role in areas such as computer vision and image processing due to its broad usage and immense applications. Because of the large importance of image segmentation a number of algorithms have been proposed and different approaches have been adopted. Segmentation divides an image into distinct regions containing each pixel with similar attributes. The objective of apportioning is to simplify and/or alter the representation of an image into something that is more meaningful and more comfortable to break down. This paper discusses the various techniques implemented

APA, Harvard, Vancouver, ISO, and other styles

25

Han, Dan, and Zhi Han Yu. "The Critical Technology Development Status of Machine Translation." Advanced Materials Research 791-793 (September 2013): 1622–25. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1622.

Full text

Abstract:

In this article, we mainly introduce some basic concepts about machine translation. Machine translation means translating a natural language text to another by software. It can be divided into two categories: rule-based and corpus-based. IBM's statistical machine translation, Microsoft's multi-language machine translation project, AT & T's voice translation system and CMUs PANGLOSS system are three typical machine translation systems. Due to sentences are constructed by words continuously in Chinese. Chinese word segmentation is very essential. Three methods of Chinese word segmentation: s

APA, Harvard, Vancouver, ISO, and other styles

26

Lai, Runping. "Research on Interactive Visual Communication Design System Based on Dynamic Image." Journal of Physics: Conference Series 2146, no. 1 (2022): 012029. http://dx.doi.org/10.1088/1742-6596/2146/1/012029.

Full text

Abstract:

Abstract The SVR image marine-continental segmentation algorithm on account of ameliorated CV model can segment the marine-continental image efficiently, and compare the image results with the original model, so as to continuously iterate the effectiveness of image segmentation. On account of this, this paper first analyses the concept and main methods of SAR image marine-continental segmentation algorithm, then studies the SAR image marine-continental segmentation algorithm on account of ameliorated CV model, and finally gives the process and effect analysis of SAR image marine-continental se

APA, Harvard, Vancouver, ISO, and other styles

27

Sridhar, Bokka. "Investigations of Medical Image Segmentation Methods with Inclusion Mathematical Morphological Operations." Traitement du Signal 38, no. 5 (2021): 1531–40. http://dx.doi.org/10.18280/ts.380530.

Full text

Abstract:

Medical image segmentation research is becoming efficient by using mathematical morphological (MM) operators. There are different methods in image segmentation such as supervised and unsupervised segmentations. The MM operators are much effective, in developing a computer aided diagnosis (CAD) system. Medical image such as mammograms, generally they are of low contrast, such that radiologists face difficulties in observing the results. Due to this, diagnosis fails to generate high rate false positives and false negatives. In the proposed work improvement of quality of image segmentation with i

APA, Harvard, Vancouver, ISO, and other styles

28

Vania, Malinda, Dawit Mureja, and Deukhee Lee. "Automatic spine segmentation from CT images using Convolutional Neural Network via redundant generation of class labels." Journal of Computational Design and Engineering 6, no. 2 (2019): 224–32. http://dx.doi.org/10.1016/j.jcde.2018.05.002.

Full text

Abstract:

Abstract There has been a significant increase from 2010 to 2016 in the number of people suffering from spine problems. The automatic image segmentation of the spine obtained from a computed tomography (CT) image is important for diagnosing spine conditions and for performing surgery with computer-assisted surgery systems. The spine has a complex anatomy that consists of 33 vertebrae, 23 intervertebral disks, the spinal cord, and connecting ribs. As a result, the spinal surgeon is faced with the challenge of needing a robust algorithm to segment and create a model of the spine. In this study,

APA, Harvard, Vancouver, ISO, and other styles

29

Horn, David, and Irit Opher. "Temporal Segmentation in a Neural Dynamic System." Neural Computation 8, no. 2 (1996): 373–89. http://dx.doi.org/10.1162/neco.1996.8.2.373.

Full text

Abstract:

Oscillatory attractor neural networks can perform temporal segmentation, i.e., separate the joint inputs they receive, through the formation of staggered oscillations. This property, which may be basic to many perceptual functions, is investigated here in the context of a symmetric dynamic system. The fully segmented mode is one type of limit cycle that this system can develop. It can be sustained for only a limited number n of oscillators. This limitation to a small number of segments is a basic phenomenon in such systems. Within our model we can explain it in terms of the limited range of na

APA, Harvard, Vancouver, ISO, and other styles

30

Ma, Tian, Xinlei Zhou, Jiayi Yang, et al. "Dental Lesion Segmentation Using an Improved ICNet Network with Attention." Micromachines 13, no. 11 (2022): 1920. http://dx.doi.org/10.3390/mi13111920.

Full text

Abstract:

Precise segmentation of tooth lesions is critical to creation of an intelligent tooth lesion detection system. As a solution to the problem that tooth lesions are similar to normal tooth tissues and difficult to segment, an improved segmentation method of the image cascade network (ICNet) network is proposed to segment various lesion types, such as calculus, gingivitis, and tartar. First, the ICNet network model is used to achieve real-time segmentation of lesions. Second, the Convolutional Block Attention Module (CBAM) is integrated into the ICNet network structure, and large-size convolution

APA, Harvard, Vancouver, ISO, and other styles

31

Rossi, Farli. "APPLICATION OF A SEMI-AUTOMATED TECHNIQUE IN LUNG LESION SEGMENTATION." Jurnal Teknoinfo 15, no. 1 (2021): 56. http://dx.doi.org/10.33365/jti.v15i1.945.

Full text

Abstract:

Segmentation is one of the most important steps in automated medical diagnosis applications, which affects the accuracy of the overall system. In this study, we apply a semi-automated technique that combines an active contour and low-level processing techniques in lung lesion segmentation by extracting lung lesions from thoracic Positron Emission Tomography (PET)/Computed Tomography (CT) images. The lesions were first segmented in Positron Emission Tomography (PET) images which have been converted previously to Standardised Uptake Values (SUVs). The segmented PET images then serve as an initia

APA, Harvard, Vancouver, ISO, and other styles

32

Klimont, Michał, Mateusz Flieger, Jacek Rzeszutek, Joanna Stachera, Aleksandra Zakrzewska, and Katarzyna Jończyk-Potoczna. "Automated Ventricular System Segmentation in Paediatric Patients Treated for Hydrocephalus Using Deep Learning Methods." BioMed Research International 2019 (July 7, 2019): 1–9. http://dx.doi.org/10.1155/2019/3059170.

Full text

Abstract:

Hydrocephalus is a common neurological condition that can have traumatic ramifications and can be lethal without treatment. Nowadays, during therapy radiologists have to spend a vast amount of time assessing the volume of cerebrospinal fluid (CSF) by manual segmentation on Computed Tomography (CT) images. Further, some of the segmentations are prone to radiologist bias and high intraobserver variability. To improve this, researchers are exploring methods to automate the process, which would enable faster and more unbiased results. In this study, we propose the application of U-Net convolutiona

APA, Harvard, Vancouver, ISO, and other styles

33

Bouget, David, Roelant S. Eijgelaar, André Pedersen, et al. "Glioblastoma Surgery Imaging–Reporting and Data System: Validation and Performance of the Automated Segmentation Task." Cancers 13, no. 18 (2021): 4674. http://dx.doi.org/10.3390/cancers13184674.

Full text

Abstract:

For patients with presumed glioblastoma, essential tumor characteristics are determined from preoperative MR images to optimize the treatment strategy. This procedure is time-consuming and subjective, if performed by crude eyeballing or manually. The standardized GSI-RADS aims to provide neurosurgeons with automatic tumor segmentations to extract tumor features rapidly and objectively. In this study, we improved automatic tumor segmentation and compared the agreement with manual raters, describe the technical details of the different components of GSI-RADS, and determined their speed. Two rece

APA, Harvard, Vancouver, ISO, and other styles

34

Kubicek, Jan, Alice Varysova, Martin Cerny, et al. "Performance and Robustness of Regional Image Segmentation Driven by Selected Evolutionary and Genetic Algorithms: Study on MR Articular Cartilage Images." Sensors 22, no. 17 (2022): 6335. http://dx.doi.org/10.3390/s22176335.

Full text

Abstract:

The analysis and segmentation of articular cartilage magnetic resonance (MR) images belongs to one of the most commonly routine tasks in diagnostics of the musculoskeletal system of the knee area. Conventional regional segmentation methods, which are based either on the histogram partitioning (e.g., Otsu method) or clustering methods (e.g., K-means), have been frequently used for the task of regional segmentation. Such methods are well known as fast and well working in the environment, where cartilage image features are reliably recognizable. The well-known fact is that the performance of thes

APA, Harvard, Vancouver, ISO, and other styles

35

Liu, Hong, Haijun Wei, Lidui Wei, Jingming Li, and Zhiyuan Yang. "The Segmentation of Wear Particles Images UsingJ-Segmentation Algorithm." Advances in Tribology 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/4931502.

Full text

Abstract:

This study aims to use a JSEG algorithm to segment the wear particle’s image. Wear particles provide detailed information about the wear processes taking place between mechanical components. Autosegmentation of their images is key to intelligent classification system. This study examined whether this algorithm can be used in particles’ image segmentation. Different scales have been tested. Compared with traditional thresholding along with edge detector, the JSEG algorithm showed promising result. It offers a relatively higher accuracy and can be used on color image instead of gray image with l

APA, Harvard, Vancouver, ISO, and other styles

36

Liu, Chang. "Research on Words Segmentation Technology in Chinese Full Text Retrieval System." Applied Mechanics and Materials 411-414 (September 2013): 313–16. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.313.

Full text

Abstract:

In order to improve the speed of Chinese full-text retrieval in the premise of ensuring Chinese ambiguity inclusion and length limitation, this paper introduces the application methods of Chinese full-text retrieval system and the current application situation of Chinese word segmentation technology. Based on the existed word segmentation algorithms, this paper proposed an improved Chinese word segmentation algorithm. In the proposed method, the procedure of indexing is to construct the map between the relative words in the context and the dictionary. This paper improves the diction to realize

APA, Harvard, Vancouver, ISO, and other styles

37

Cui, ChunHui, Qian Zhang, and KingNgi Ngan. "Multi-view Video Based Object Segmentation - A Tutorial." ECTI Transactions on Electrical Engineering, Electronics, and Communications 7, no. 2 (2008): 1–16. http://dx.doi.org/10.37936/ecti-eec.200972.171842.

Full text

Abstract:

Video based object segmentation (VBOS) is an important step in many computer vision and multimedia tasks such as video editing and compositing. In recent years, multi-view VBOS systems have become more and more popular because the stereo clues from multiview data can be efficiently incorporated to improve the segmentation results and eliminate the required initial user input. In this paper, we give a review on recent development of multi-view VBOS systems and the related techniques including data acquisition, camera calibration, depth reconstruction, object segmentation and tracking. Furthermo

APA, Harvard, Vancouver, ISO, and other styles

38

Wu, Xiao Yu, Lei Yang, Shao Bin Li, and Pin Xu. "An Interactive Video Foreground Segmentation System Based on Modeling and Dynamic Graph Cut Algorithm." Advanced Materials Research 532-533 (June 2012): 1770–74. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1770.

Full text

Abstract:

This paper proposes an interactive video foreground segmentation method based on modeling and graph cut algorithm. User interactions are required at initial frame or key frame of video sequence at first. Secondly we make use of user interactions information to develop background/foreground model and get foreground segmentation result of the current frame in term of graph cut algorithm. And automatic updated methods are proposed to obtain foreground segmentation results automatically on the later sequence of video without user interaction. The developed system of interactive video foreground se

APA, Harvard, Vancouver, ISO, and other styles

39

Deng, Hanbing, Tongyu Xu, Yuncheng Zhou, and Teng Miao. "Depth Density Achieves a Better Result for Semantic Segmentation with the Kinect System." Sensors 20, no. 3 (2020): 812. http://dx.doi.org/10.3390/s20030812.

Full text

Abstract:

Image segmentation is one of the most important methods for animal phenome research. Since the advent of deep learning, many researchers have looked at multilayer convolutional neural networks to solve the problems of image segmentation. A network simplifies the task of image segmentation with automatic feature extraction. Many networks struggle to output accurate details when dealing with pixel-level segmentation. In this paper, we propose a new concept: Depth density. Based on a depth image, produced by a Kinect system, we design a new function to calculate the depth density value of each pi

APA, Harvard, Vancouver, ISO, and other styles

40

MARTIN, GALE L., MOSFEQ RASHID, and JAMES A. PITTMAN. "INTEGRATED SEGMENTATION AND RECOGNITION THROUGH EXHAUSTIVE SCANS OR LEARNED SACCADIC JUMPS." International Journal of Pattern Recognition and Artificial Intelligence 07, no. 04 (1993): 831–47. http://dx.doi.org/10.1142/s021800149300042x.

Full text

Abstract:

This paper advances two approaches to integrating handwritten character segmentation and recognition within one system, where the underlying function is learned by a backpropagation neural network. Integrated segmentation and recognition is necessary when characters overlap or touch, or when an individual character is broken up. The first approach exhaustively scans a field of characters, effectively creating a possible segmentation at each scan point. A neural net is trained to both identify when its input window is centered over a character, and if it is, to classify the character. This appr

APA, Harvard, Vancouver, ISO, and other styles

41

Amrehn, Mario, Stefan Steidl, Reinier Kortekaas, et al. "A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems." International Journal of Biomedical Imaging 2019 (September 5, 2019): 1–21. http://dx.doi.org/10.1155/2019/1464592.

Full text

Abstract:

For complex segmentation tasks, the achievable accuracy of fully automated systems is inherently limited. Specifically, when a precise segmentation result is desired for a small amount of given data sets, semi-automatic methods exhibit a clear benefit for the user. The optimization of human computer interaction (HCI) is an essential part of interactive image segmentation. Nevertheless, publications introducing novel interactive segmentation systems (ISS) often lack an objective comparison of HCI aspects. It is demonstrated that even when the underlying segmentation algorithm is the same throug

APA, Harvard, Vancouver, ISO, and other styles

42

Mohd Saad, Norhashimah, Muhamad Faizal Yaakub, Abdul Rahim Abdullah, Nor Shahirah Mohd Noor, Nur Azmina Zainal, and Wira Hidayat Mohd Saad. "Automated brain tumor segmentation and classification for MRI analysis system." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 3 (2019): 1337. http://dx.doi.org/10.11591/ijeecs.v15.i3.pp1337-1344.

Full text

Abstract:

<span>This paper proposed a new analysis technique of brain tumor segmentation and classification for Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI). 25 FLAIR MRI images were collected from online database of Multimodal Brain Tumor Segmentation Challenge 2015 (BRaTS’15). The analysis comprised four stages which are preprocessing, segmentation, feature extraction and classification. Fuzzy C-Means (FCM) was proposed for brain tumor segmentation. Mean, median, mode, standard deviation, area and perimeter were calculated and utilized as the features to be fed int

APA, Harvard, Vancouver, ISO, and other styles

43

Rymarczyk, Tomasz. "ANALYSIS MEDICAL AND STEREOSCOPIC IMAGES BY E-MEDICUS SYSTEM." Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, no. 2 (2018): 54–57. http://dx.doi.org/10.5604/01.3001.0012.0707.

Full text

Abstract:

In this work, there were implemented methods to analyze and segmentation medical images by using different kind of algorithms. The solution shows the architecture of the system collecting and analyzing data. There was tried to develop an algorithm for level set method applied to piecewise constant image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. With the use of modern algorithms, it can obtain a quicker diagnosis and automatically marking areas of the interest region in medical images.

APA, Harvard, Vancouver, ISO, and other styles

44

M, Merlin Asha, G. Naveen Balaji S. Mythili A. Karthikeyan, and N. Thillaiarasu. "An Efficient Brain Tumor Detection Algorithm based on Segmentation for MRI System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (2018): 1353–58. http://dx.doi.org/10.31142/ijtsrd9667.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Chae, Hyun-Uk, Taeho Kim, and Kang-Hyun Jo. "2A1-D10 Segmentation and Correspondence of Human Body from Multiple Camera System." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _2A1—D10_1—_2A1—D10_4. http://dx.doi.org/10.1299/jsmermd.2009._2a1-d10_1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Mendi, Engin, Songul Cecen, Emre Ermisoglu, and Coskun Bayrak. "Automated neurosurgical video segmentation and retrieval system." Journal of Biomedical Science and Engineering 03, no. 06 (2010): 618–24. http://dx.doi.org/10.4236/jbise.2010.36084.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Chan, Yung-Kuan, Der-Chen Huang, Kuo-Ching Liu, Rong-Tai Chen, and Xiaoyi Jiang. "An Automatic Indirect Immunofluorescence Cell Segmentation System." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/501206.

Full text

Abstract:

Indirect immunofluorescence (IIF) with HEp-2 cells has been used for the detection of antinuclear autoantibodies (ANA) in systemic autoimmune diseases. The ANA testing allows us to scan a broad range of autoantibody entities and to describe them by distinct fluorescence patterns. Automatic inspection for fluorescence patterns in an IIF image can assist physicians, without relevant experience, in making correct diagnosis. How to segment the cells from an IIF image is essential in developing an automatic inspection system for ANA testing. This paper focuses on the cell detection and segmentation

APA, Harvard, Vancouver, ISO, and other styles

48

Izquierdo, E., and M. Ghanbari. "Key components for an advanced segmentation system." IEEE Transactions on Multimedia 4, no. 1 (2002): 97–113. http://dx.doi.org/10.1109/6046.985558.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Sari, T., and M. Sellami. "Cursive Arabic Script Segmentation and Recognition System." International Journal of Computers and Applications 27, no. 3 (2005): 161–68. http://dx.doi.org/10.1080/1206212x.2005.11441771.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Wang, Weixing. "Colony image acquisition system and segmentation algorithms." Optical Engineering 50, no. 12 (2011): 123001. http://dx.doi.org/10.1117/1.3662398.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!