• Title/Summary/Keyword: Homogeneity region

Search Result 114, Processing Time 0.024 seconds

A Study on the Fire Flame Region Extraction Using Block Homogeneity Segmentation (블록 동질성 분할을 이용한 화재불꽃 영역 추출에 관한 연구)

  • Park, Changmin
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.14 no.4
    • /
    • pp.169-176
    • /
    • 2018
  • In this study, we propose a new Fire Flame Region Extraction using Block Homogeneity Segmentation method of the Fire Image with irregular texture and various colors. It is generally assumed that fire flame extraction plays a very important role. The Color Image with fire flame is divided into blocks and edge strength for each block is computed by using modified color histogram intersection method that has been developed to differentiate object boundaries from irregular texture boundaries effectively. The block homogeneity is designed to have the higher value in the center of region with the homeogenous colors or texture while to have lower value near region boundaries. The image represented by the block homogeneity is gray scale image and watershed transformation technique is used to generate closed boundary for each region. As the watershed transform generally results in over-segmentation, region merging based on common boundary strength is followed. The proposed method can be applied quickly and effectively to the initial response of fire.

A Reduction Method of Over-Segmented Regions at Image Segmentation based on Homogeneity Threshold (동질성 문턱 값 기반 영상분할에서 과분할 영역 축소 방법)

  • Han, Gi-Tae
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.1 no.1
    • /
    • pp.55-68
    • /
    • 2012
  • In this paper, we propose a novel method to solve the problem of excessive segmentation out of the method of segmenting regions from an image using Homogeneity Threshold($H_T$). The algorithm of the previous image segmentation based on $H_T$ was carried out region growth by using only the center pixel of selected window. Therefore it was caused resulting in excessive segmented regions. However, before carrying region growth, the proposed method first of all finds out whether the selected window is homogeneity or not. Subsequently, if the selected window is homogeneity it carries out region growth using the total pixels of selected window. But if the selected window is not homogeneity, it carries out region growth using only the center pixel of selected window. So, the method can reduce remarkably the number of excessive segmented regions of image segmentation based on $H_T$. In order to show the validity of the proposed method, we carried out multiple experiments to compare the proposed method with previous method in same environment and conditions. As the results, the proposed method can reduce the number of segmented regions above 40% and doesn't make any difference in the quality of visual image when we compare with previous method. Especially, when we compare the image united with regions of descending order by size of segmented regions in experimentation with the previous method, even though the united image has regions more than 1,000, we can't recognize what the image means. However, in the proposed method, even though image is united by segmented regions less than 10, we can recognize what the image is. For these reason, we expect that the proposed method will be utilized in various fields, such as the extraction of objects, the retrieval of informations from the image, research for anatomy, biology, image visualization, and animation and so on.

Detection of mass type-Breast Cancer using Homogeneity and Ranklets on Dense Mammographic Images (Homogeneity와 Ranklets를 이용한 치밀 유방에서의 종괴(mass)형 암 검출)

  • Park, Jun-Young;Chon, Min-Su;Kim, Won-Ha;Kim, Sung-Min
    • Proceedings of the KIEE Conference
    • /
    • 2006.10c
    • /
    • pp.148-150
    • /
    • 2006
  • In this paper, we propose a new method for detection of mass-type breast cancer in dense mammogram. As the proposed method analyzes texture of the breast tissue using method by fusing Homogeneity and Ranklets, improve problem of traditional method. Homogeneity gives the measure of uniform density, and Ranklets determine orientation selective property at vertical, horizontal and diagonal in mass region. The proposed method is suitable to dense mammogram with tangled normal tissue and cancer tissue. SVM(Support Vector Machine) classifier is used for effective detection of mass-type breast cancer in dense mammogram.

  • PDF

Crystal Chemistry of Yttrium-Barium-Copper Oxycarbonate Ceramics

  • Vatolin, Nikolay;Dubrovina, Iring;Balakirev, Viacimir;Zubkov, Vladimir;Tyutyunik, Alexander
    • The Korean Journal of Ceramics
    • /
    • v.6 no.2
    • /
    • pp.164-167
    • /
    • 2000
  • The barium rich region of the Y-Ba-Cu-O-C system includes a tetragonal perovskite-like phase, which possesses a wide homogeneity region toward yttrium, copper and carbonate ion on the one hand, and toward oxygen, on the other hand. Accounting for vacancies ($\square$-vacancy) this phase could be described by the general formula per unit cell: {Ba$_8$}[Y$_{3-z}$Cu$_{5-x}$$(CO_3)_n$ $\square$$_{x+x-n}$]O$_{y{\pm}{\delta}y}$ (*). Here, cube-octahedral sites are represented in braces, while quasioctahedral ones with proper octahedral (Y, Cul), square (Cu2) and triangular (CO$_3$) configuration are shown in square brackets. The formula (*) was confirmed by full-profile Rietveld refinement based on X-ray diffraction data of YBa$_{5}$Cu$_2$O$_y$ (1-5-2 phase). Homogeneity region limits of the phase (*) at 96$0^{\circ}C$ in air were determined to be -0.33$\leq$x$\leq$1.80, 0.33$\leq$z$\leq$2.00, 0$\leq$n$\leq$3.

  • PDF

Automatic Method for Extracting Homogeneity Threshold and Segmenting Homogeneous Regions in Image (영상의 동질성 문턱 값 추출과 영역 분할 자동화 방법)

  • Han, Gi-Tae
    • The KIPS Transactions:PartB
    • /
    • v.17B no.5
    • /
    • pp.363-374
    • /
    • 2010
  • In this paper, we propose the method for extracting Homogeneity Threshold($H_T$) and for segmenting homogeneous regions by USRG(Unseeded Region Growing) with $H_T$. The $H_T$ is a criterion to distinguish homogeneity in neighbor pixels and is computed automatically from the original image by proposed method. Theoretical background for proposed method is based on the Otsu's single level threshold method. The method is used to divide a small local part of original image int o two classes and the sum($\sigma_c$) of standard deviations for the classes to satisfy special conditions for distinguishing as different regions from each other is used to compute $H_T$. To find validity for proposed method, we compare the original image with the image that is regenerated with only the segmented homogeneous regions and show up the fact that the difference between two images is not exist visually and also present the steps to regenerate the image in order the size of segmented homogeneous regions and in order the intensity that includes pixels. Also, we show up the validity of proposed method with various results that is segmented using the homogeneity thresholds($H^*_T$) that is added a coefficient ${\alpha}$ for adjusting scope of $H_T$. We expect that the proposed method can be applied in various fields such as visualization and animation of natural image, anatomy and biology and so on.

Computer Simulation of the Electric Potential Distribution of Human Cross Section (심장 횡단면의 전위분포 컴퓨터 시뮬레이션)

  • 고용훈;박상희
    • Journal of Biomedical Engineering Research
    • /
    • v.3 no.2
    • /
    • pp.65-70
    • /
    • 1982
  • This paper presents a new method of solving the electric potential distribution using the finite element method. The thoracic region surrounded by the body surface and the heart is discretized into finite elements and the Continuous Laplace-equation is transformed into one of the finite degrees of freedom. The current source density, the conductivity, and the excitable range is obtained by the references. From the result of simulation, it was revealed that the potential pattern of in homogeneity was much different from that of homogeneity.

  • PDF

A Study on Homogeneity of Costume Culture in the Coastal Areas of the Gulf of Aden -Focusing on the Burga of Horn and Arabia - (아든만 연안지역의 복식문화 동질성 연구 -혼 지역과 아라비아 지역의 부르가를 중심으로 -)

  • 김문숙
    • The Research Journal of the Costume Culture
    • /
    • v.9 no.4
    • /
    • pp.664-676
    • /
    • 2001
  • This study highlights the homogeneity in the heritage of the costume cultures between the Gulf of Aden, a part of the Horn region of Africa and the Arab region of West. Asia. Specifically, a cross-cultural perspective is used to examine the similarities between the two regions based on their (1) geographic living cultures and (2) the use of a costume accessory called Burga-a face veil. The current trend in research on the traditional costume culture of Africa mostly ties art with the traditional costume culture and examines its from an aesthetic or animalism perspective rather than from a cross cultural Perspective. Compared to Previous research in this area this study used literature reviews and Pictorial analysis to analyze costume cultures from a cross-cultural perspective. The Burga, which is worn in the low lands of the Horn region, which is located between the West Asia and African continents, as well as the Arab region, shows a reciprocal cultural exchange between the two regions. Similarities can be found in the shape, design, decorative elements, and the way the Bursa was worn in two regions. Although the Burga as a face veil is only a small part of a costume, it reaffirms the similar living cultures and geographic characteristics of the two regions. As the living culture environment becomes similar around the world, this study should help with cross culture negotiations as well as forther the development of traditional costume research.

  • PDF

Homogeneity of Climate Aridity Index Trends Using Mann-Kendall Trend Test (Mann-Kendall 추세분석을 이용한 건조지수 추세의 동질성)

  • Rim, Chang-Soo
    • Journal of Korea Water Resources Association
    • /
    • v.47 no.7
    • /
    • pp.643-656
    • /
    • 2014
  • The homogeneity analysis of temporal (monthly, seasonal and annual) climate aridity index trend was accomplished for 43 climate measurement stations in South Korea. Furthermore, 43 stations were grouped into 9 different regions and the temporal and regional homogeneity of climate aridity index trends in each region and entire 9 regions were analyzed. For analysis, monthly, seasonal and annual climate aridity indexes of 43 study stations were estimated using precipitation and potential evapotranspiration calculated from FAO Penman-Monteith equation. The Mann-Kendall statistical test for significant trend was accomplished using the estimated climate aridity indexes and the results of trend test (Z scores) were used to analyze the temporal and regional homogeneity of climate aridity index trends. The study results showed the temporal and regional homogeneity of climate aridity index trends for individual and entire 9 regions. However, the homogeneity and the extent of aridity index trend showed different patterns temporally and regionally.

Segmentation of Millimeter-wave Radiometer Image via Classuncertainty and Region-homogeneity

  • Singh, Manoj Kumar;Tiwary, U.S.;Kim, Yong-Hoon
    • Proceedings of the KSRS Conference
    • /
    • 2003.11a
    • /
    • pp.862-864
    • /
    • 2003
  • Thresholding is a popular image segmentation method that converts a gray-level image into a binary image. The selection of optimum threshold has remained a challenge over decades. Many image segmentation techniques are developed using information about image in other space rather than the image space itself. Most of the technique based on histogram analysis information-theoretic approaches. In this paper, the criterion function for finding optimal threshold is developed using an intensity-based classuncertainty (a histogram-based property of an image) and region-homogeneity (an image morphology-based property). The theory of the optimum thresholding method is based on postulates that objects manifest themselves with fuzzy boundaries in any digital image acquired by an imaging device. The performance of the proposed method is illustrated on experimental data obtained by W-band millimeter-wave radiometer image under different noise level.

  • PDF

지방정부 간 자율적 행정구역 통합의 성공요인 탐색: 퍼지집합 질적비교분석(fsQCA)의 적용

  • Yang, Go-Un;Park, Hyeong-Jun
    • Journal of Local Government Studies
    • /
    • v.25 no.1
    • /
    • pp.91-116
    • /
    • 2013
  • The purpose of this paper is to find out the set of the factors influencing on the successful voluntary consolidation among local governments. This paper considers the voluntary consolidation as a kind of coordination mechanism and institutional collective action process between local governments, and identifies the configurations of the causal factors influencing the voluntary consolidations by applying the fuzzy-set analysis. It is found that the sets of the causal factors which include political and economic homogeneity factors in the region, and interlocal political, economic, and social homogeneity factors, and prior consolidation experience between regions have positive effects on the consolidations. Also, it turns out that interlocal homogeneity and conformity between regions should be considered significantly for institutionalization which supports the consolidation between local entities.