Image Segmentation Based on Two-Dimensional Markov Chains

Medvedeva, E. V.; Kurbatova, E. E.

doi:10.1007/978-3-319-11430-9_11

Cited by 17 publications

(5 citation statements)

References 11 publications

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“…However, compared to foreign countries, hospital informatization in China started late and has a weaker foundation. Although after more than 30 years of independent development and the state has invested a lot of human and financial resources, there are still a large number of difficulties and deficiencies in the complex environment of hospitals, and the level of nursing assessment applications is still at the primary stage of development, a large part of which is due to the lack of various standards and relevant laws in the medical field [13][14][15]. e assessment phase is the stage that provides a solid foundation for implementing high-quality individualized care, but in clinical practice, the patient assessment process is often only formal and does not truly and objectively reflect the patient's health problems due to factors such as the nurse's own quality and the current state of nursing care.…”

Section: Related Workmentioning

confidence: 99%

Design of Intelligent Nursing Decision Support System Based on Multiattribute Decision Model

Lü

Jiang

Zhang

et al. 2022

Journal of Healthcare Engineering

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Nursing medical histories are copied randomly, leading to the occurrence of incorrectly altered histories, and medical errors are on the rise year by year. Moreover, erroneous falsification of nursing medical history is a challenging issue that needs to be urgently addressed in domestic nursing medical history. In this manuscript, a caregiver association method, which is based on a multiattribute decision model, is proposed which is specifically designed for the caregiver association selection problem in intelligent caregiving decision making. In this mode, through the selection and modeling of key performance indicators and the design of combined weights, the purpose of regulating the priority of attributes is achieved. At the same time, a comprehensive evaluation index is designed to realize the joint optimization of multiple attributes. Simulation results show that the proposed nursing workstation can not only tradeoff the quality of nursing staff experience and system performance but also balance the distribution of nursing work and effectively reduce the association delay and system energy consumption．

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Section: Related Workmentioning

confidence: 99%

Design of Intelligent Nursing Decision Support System Based on Multiattribute Decision Model

Lü

Jiang

Zhang

et al. 2022

Journal of Healthcare Engineering

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“…The developed segmentation method, based on an estimate of transition probabilities for threedimensional Markov chains and luminosity, improved the accuracy of detecting the edges of extended texture objects on multichannel and time-varying images compared to the two-dimensional segmentation algorithm proposed in [14]. In addition, the evaluation of texture features by bit binary images allows to reduce computational resources for the implementation of the segmentation algorithm.…”

Section: Resultsmentioning

confidence: 99%

“…Works [13,14] propose to solve the computational complexity reduction problem using representation of g -bit digital images (DI) as a set of g -bit binary images (BBI) and approximate them with Markov chains with two states and 2 × 2 transition probability matrices. Assuming that the most informative are the binary images belonging to the senior bits of DI, it is proposed to use one of the BBIs of the senior bits of DI to select textures.…”

Section: Introductionmentioning

confidence: 99%

“…When using the mathematical apparatus of Markov chains, textural features are probabilistic characteristics between elements of images. Works [14][15][16] present the method of texture segmentation of DI based on a two-dimensional Markov chain with two states. With probabilities of transitions between elements different by 0.15 for different texture areas, the segmentation error did not exceed 6%.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving the accuracy of detecting the edges of texture objects in remote sensing images

Medvedeva

Evdokimova

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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The authors offer a method for detecting the edges of texture objects in remote sensing images. This method is based on the evaluation of textural and brightness attributes. It is proposed to use transition probabilities for three-dimensional Markov chains with two states as texture features, averaged within a sliding window. It makes possible to improve the detection accuracy of texture objects on multichannel or multi-time snapshots. To reduce the computational resources, it is proposed to determine the signs by the bit planes of the senior, most informative digits of the digital image. The simulation results confirm the effectiveness of the proposed method.

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“…It is one of the most commonly used nonlinear filtering methods. However, due to the linearization processing method of Taylor expansion, the filtering result of EKF can be close to the true value only when the state equation and observation equation of the system are close to linear and continuous [ 18 ]. When the state equation and observation equation are seriously nonlinear, the filtering result of EKF will be very bad.…”

Section: Methodsmentioning

confidence: 99%

Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System

Guan¹,

Pamba²,

Balachander

et al. 2022

Computational Intelligence and Neuroscience

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This paper introduces the application and classification of an adaptive filtering algorithm in the image enhancement algorithm. And the filtering noise reduction impact is compared using MATLAB software for programming, image processing, LMS algorithm, RLS algorithm, histogram equalisation algorithm, and Wiener filtering method filtering noise reduction effect. To optimize the intelligent graphic image interaction system, the proposed nonlinear adaptive algorithm of intelligent graphic image interaction system research is based on the digital filter and adaptive filtering algorithm for simulation experiment. The experimental results of several noise index data filtering algorithms show that the fuzzy coefficient k of LMS index is 0.86, RLS index is 0.91, the histogram equalization index is 0.53, and the Wiener filtering index is 0.62. LMS index of quality index Q is 0.90, RLS index is 0.95, histogram equalization index is 0.58, Wiener filtering index is 0.65. According to the above results, comparing LMS with the RLS method and according to SNR, k, and Q values in the simulation results in the process of processing, it is found that the convergence speed of the RLS algorithm is obviously better than that of the LMS algorithm, and the stability is also good. Additionally, the differential imaging data can provide a strong reference for the clinical diagnosis and qualitative differentiation of TBP and CP, and MSCT is worthy of extensive application in the clinical diagnosis of peritonitis. The processing effect of the image with high similarity to the original image is greatly improved compared with the histogram equalization and Wiener filtering methods used in the simulation.

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Image Segmentation Based on Two-Dimensional Markov Chains

Cited by 17 publications

References 11 publications

Design of Intelligent Nursing Decision Support System Based on Multiattribute Decision Model

Design of Intelligent Nursing Decision Support System Based on Multiattribute Decision Model

Improving the accuracy of detecting the edges of texture objects in remote sensing images

Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System

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