• Title/Summary/Keyword: Hierarchical Diffusion

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Color Image Segmentation Using Anisotropic Diffusion and Agglomerative Hierarchical Clustering (비등방형 확산과 계층적 클러스터링을 이용한 칼라 영상분할)

  • 김대희;안충현;호요성
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.377-380
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    • 2003
  • A new color image segmentation scheme is presented in this paper. The proposed algorithm consists of image simplification, region labeling and color clustering. The vector-valued diffusion process is performed in the perceptually uniform LUV color space. We present a discrete 3-D diffusion model for easy implementation. The statistical characteristics of each labeled region are employed to estimate the number of total clusters and agglomerative hierarchical clustering is performed with the estimated number of clusters. Since the proposed clustering algorithm counts each region as a unit, it does not generate oversegmentation along region boundaries.

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Analysis of 3-D Superplastic Forming/Diffusion Bonding Process Using a Hierarchical Contact Searching Method(I) (계층적 접촉 탐색방법을 이용한 3-D 초소성 성형/확산접합의 공정설계(I))

  • Kang, Y.K.;Song, J.S.;Hong, S.S.;Kwon, Y.N.;Lee, J.H.;Kim, Y.H.
    • Transactions of Materials Processing
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    • v.16 no.2 s.92
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    • pp.138-143
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    • 2007
  • Superplastic forming/diffusion bonding (SPF/DB) processes were analyzed using a 3-D rigid visco-plastic finite element method. A constant-triangular element based on membrane approximation and an incremental theory of plasticity are employed for the formulation. The coulomb friction law is used for interface friction between tool and material. Pressure-time relationship for a given optimal strain rate is calculated by stress and pressure values at the previous iteration step. In order to improve the contact searching, hierarchical search algorithm has been applied and implemented into the code. Various geometries including sandwich panel and 3 sheet shape for 3-D SPF/DB model are analyzed using the developed program. The validity fer the analysis is verified by comparison between analysis and results in the literature.

A Hierarchical Bilateral-Diffusion Architecture for Color Image Encryption

  • Wu, Menglong;Li, Yan;Liu, Wenkai
    • Journal of Information Processing Systems
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    • v.18 no.1
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    • pp.59-74
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    • 2022
  • During the last decade, the security of digital images has received considerable attention in various multimedia transmission schemes. However, many current cryptosystems tend to adopt a single-layer permutation or diffusion algorithm, resulting in inadequate security. A hierarchical bilateral diffusion architecture for color image encryption is proposed in response to this issue, based on a hyperchaotic system and DNA sequence operation. Primarily, two hyperchaotic systems are adopted and combined with cipher matrixes generation algorithm to overcome exhaustive attacks. Further, the proposed architecture involves designing pixelpermutation, pixel-diffusion, and DNA (deoxyribonucleic acid) based block-diffusion algorithm, considering system security and transmission efficiency. The pixel-permutation aims to reduce the correlation of adjacent pixels and provide excellent initial conditions for subsequent diffusion procedures, while the diffusion architecture confuses the image matrix in a bilateral direction with ultra-low power consumption. The proposed system achieves preferable number of pixel change rate (NPCR) and unified average changing intensity (UACI) of 99.61% and 33.46%, and a lower encryption time of 3.30 seconds, which performs better than some current image encryption algorithms. The simulated results and security analysis demonstrate that the proposed mechanism can resist various potential attacks with comparatively low computational time consumption.

3-D Finite Element Analysis of Superplastic Forming/Diffusion Bonding Processes with Consideration of Contact between Deformable Bodies (변형체간의 접촉을 고려한 3차원 초소성 성형/확산접합의 유한요소해석)

  • Kang, Yung-Kil;Song, Jae-Sun;Hong, Sung-Suk;Kim, Yong-Hwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.1
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    • pp.57-65
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    • 2008
  • Superplastic forming/diffusion bonding(SPF/DB) processes with inner contact were analyzed using a 3-D rigid visco-plastic finite element method. A constant-triangular element based on membrane approximation and an incremental theory of plasticity are employed for the formulation. The hierarchical search algorithm for the contact searching has been applied. The algorithms for contact force processing were designed to handle equally well contact between deformable bodies, as well as rigid bodies. The plate of three and four sheets for 3-D SPF/DB model are analyzed using the developed program. The validity for the analysis is verified by comparison between analysis, experiment and results in the literature.

Point Particle Approximation for Single and Two Species Diffusion-Influenced Reactions

  • Kim, Hyojoon
    • Bulletin of the Korean Chemical Society
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    • v.34 no.5
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    • pp.1454-1456
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    • 2013
  • The fluctuations in concentrations of reactants dominate the long-time dynamics of the single (A + A ${\rightarrow}$ 0) and two species (A + B ${\rightarrow}$ 0) diffusion-influenced annihilation reactions. Although hierarchical Smoluchowski approaches can provide a systematic and flexible framework to deal with the fluctuation effects, their results are too complicated to be analytically solved. For the efficient numerical calculation of the complicated fluctuation effect terms, we show that the presented point particle approximation is not only practical but also quite accurate for most conditions in diffusion-influenced reaction systems.

Implementation of Hierarchical Spatial Filters with Orientation Selectivity by Using Diffusion Network (확산망에 의한 방향성 계층적 공간 필터의 구현)

  • 최태완;김재창
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.10
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    • pp.130-138
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    • 1996
  • In this paper, we propose a neural network which detect edges of different orentation and spatial frequency in arbitrary image data. We constructed the proposed neural network iwth two different types neural network. A diffusion network performs the gaussian operation efficiently by the diffusion process. And the spatial difference network has specially designed connections suitble to detect the contours of a specific oriention. Simulation results showed that the proposed neural network can extract the edges of selected orientation efficiently by applying the neural network to a test pattern and the real image.

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Implantation of Protestant Methodist in Gangwha Islands and Cultural Change (개신교 감리교의 강화도 전래와 문화변동)

  • Oak, Han Suk
    • Journal of the Korean Geographical Society
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    • v.49 no.5
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    • pp.705-715
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    • 2014
  • Acculturation is caused with contact by two different cultures. This study investigates a cultural change of Gangwha society with Hagok confusianism influenced by implantation of methodism. At early periods methodism diffused rapidly and relocated toward marine routes. Lately hierarchical diffusion and contagious diffusion was typical, centering on the Gangwha Jungang Church. This successful acception was influenced with confusianism's acculturation. One of the reason why Gangwha people could accept the Christianity was reinterpretation and selective strategy by Hagok fraction that became one of confusinism, It seemed that several cultural elements of Hagok fraction was coincided with some elements of methodism. However, A methodist church transferred by clan's shrine, which family relationship was coerced, was split into it's members. This segregation other than social intergretation influenced establishment of a or more church per each village.

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Image Classification Using Modified Anisotropic Diffusion Restoration (수정 이방성 분산 복원을 이용한 영상 분류)

  • 이상훈
    • Korean Journal of Remote Sensing
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    • v.19 no.6
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    • pp.479-490
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    • 2003
  • This study proposed a modified anisotropic diffusion restoration for image classification. The anisotropic diffusion restoration uses a probabilistic model based on Markov random field, which represents geographical connectedness existing in many remotely sensed images, and restores them through an iterative diffusion processing. In every iteration, the bonding-strength coefficient associated with the spatial connectedness is adaptively estimated as a function of brightness gradient. The gradient function involves a constant called "temperature", which determines the amount of discontinuity and is continuously decreased in the iterations. In this study, the proposed method has been extensively evaluated using simulated images that were generated from various patterns. These patterns represent the types of natural and artificial land-use. The simulated images were restored by the modified anisotropic diffusion technique, and then classified by a multistage hierarchical clustering classification. The classification results were compared to them of the non-restored simulation images. The restoration with an appropriate temperature considerably reduces error in classification, especially for noisy images. This study made experiments on the satellite images remotely sensed on the Korean peninsula. The experimental results show that the proposed approach is also very effective on image classification in remote sensing.

A Study of the Measurement of Personal Activity on Online Marketing: Focus on SNS (온라인 마케팅 활동성 측정에 대한 연구- SNS 사용자 활동을 중심으로)

  • Kim, Sooeun;Kim, Eungdo
    • Knowledge Management Research
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    • v.16 no.3
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    • pp.81-102
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    • 2015
  • With the rapid development of digital media, there has been a huge change in a way of communication, a process of information diffusion and a role of traditional media. Not like mass media, social media enables users to generate and tap into the opinions of a larger world. From that reason, social media is impacting marketing strategies. However, still social media marketing researches just focus on case study, analysis of users motivation or analysis of power user's usage pattern. Word-of-mouth has always been important especially in marketing area. In social media, word-of-mouth depends on each user that's why this research focuses on individual user's activity in SNS. I defined 4 factors (produce, diffusion, network size, activity of network size enlarge) that are effect on activity and verified hypothesis by multiple regression analysis, hierarchical regression analysis and moderated multiple regression.