• Title/Summary/Keyword: merge methods

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Adaptive Segmentation Approach to Extraction of Road and Sky Regions (도로와 하늘 영역 추출을 위한 적응적 분할 방법)

  • Park, Kyoung-Hwan;Nam, Kwang-Woo;Rhee, Yang-Won;Lee, Chang-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.105-115
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    • 2011
  • In Vision-based Intelligent Transportation System(ITS) the segmentation of road region is a very basic functionality. Accordingly, in this paper, we propose a region segmentation method using adaptive pattern extraction technique to segment road regions and sky regions from original images. The proposed method consists of three steps; firstly we perform the initial segmentation using Mean Shift algorithm, the second step is the candidate region selection based on a static-pattern matching technique and the third is the region growing step based on a dynamic-pattern matching technique. The proposed method is able to get more reliable results than the classic region segmentation methods which are based on existing split and merge strategy. The reason for the better results is because we use adaptive patterns extracted from neighboring regions of the current segmented regions to measure the region homogeneity. To evaluate advantages of the proposed method, we compared our method with the classical pattern matching method using static-patterns. In the experiments, the proposed method was proved that the better performance of 8.12% was achieved when we used adaptive patterns instead of static-patterns. We expect that the proposed method can segment road and sky areas in the various road condition in stable, and take an important role in the vision-based ITS applications.

Assessment of merging weather radar precipitation data and ground precipitation data according to various interpolation method (보간법에 따른 기상레이더 강수자료와 지상 강수자료의 합성기법 평가)

  • Kim, Tae-Jeong;Lee, Dong-Ryul;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
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    • v.50 no.12
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    • pp.849-862
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    • 2017
  • The increased frequency of meteorological disasters has been observed due to increased extreme events such as heavy rainfalls and flash floods. Numerous studies using high-resolution weather radar rainfall data have been carried out on the hydrological effects. In this study, a conditional merging technique is employed, which makes use of geostatistical methods to extract the optimal information from the observed data. In this context, three different techniques such as kriging, inverse distance weighting and spline interpolation methods are applied to conditionally merge radar and ground rainfall data. The results show that the estimated rainfall not only reproduce the spatial pattern of sub-hourly rainfall with a relatively small error, but also provide reliable temporal estimates of radar rainfall. The proposed modeling framework provides feasibility of using conditionally merged rainfall estimation at high spatio-temporal resolution in ungauged areas.

AR monitoring technology for medical convergence (증강현실 모니터링 기술의 의료융합)

  • Lee, Kyung Sook;Lim, Wonbong;Moon, Young Lae
    • Journal of the Korea Convergence Society
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    • v.9 no.2
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    • pp.119-124
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    • 2018
  • The augmented reality(AR) technology enables to acquire various image information at the same time by combining virtual image information with the user's viewpoint. These AR technologies have been used to visualize patients' organs and tissues during surgery and diagnosis in the fields of Image-Guide Operation, Surgical Training, and Image Diagnosis by medical convergence, and provides the most effective surgical methods. In this paper, we study the technical features and application methods of each element technology for medical fusion of AR technology. In the AR technology for medical convergence, display, marker recognition and image synthesis interface technology is essential for efficient medical image. Such AR technology is considered to be a way to drastically improve current medical technology in the fields of image guide surgery, surgical education, and imaging diagnosis.

Design of 8K Broadcasting System based on MMT over Heterogeneous Networks

  • Sohn, Yejin;Cho, Minju;Paik, Jongho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.4077-4091
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    • 2017
  • This paper presents the design of a broadcasting scenario and system for an 8K-resolution content. Due to an 8K content is four times larger than the 4K content in terms of size, many technologies such as content acquisition, video coding, and transmission are required to deal with it. Therefore, high-quality video and audio for 8K (ultra-high definition television) service is not possible to be transmitted only using the current terrestrial broadcasting system. The proposed broadcasting system divides the 8K content into four 4K contents by area, and each area is hierarchically encoded by Scalable High-efficiency Video Coding (SHVC) into three layers: L0, L1, and L2. Every part of the 8K video content divided into areas and hierarchy is independently treated. These parts are transmitted over heterogeneous networks such as digital broadcasting and broadband networks after going through several processes of generating signal messages, encapsulation, and packetization based on MPEG media transport. We propose three methods of generating streams at the sending entity to merge the divided streams into the original content at the receiving entity. First, we design the composition information, which defines the presentation structure for displays. Second, a descriptor for content synchronization is included in the signal message. Finally, we define the rules for generating "packet_id" among the packet header fields and design the transmission scheduler to acquire the divided streams quickly. We implement the 8K broadcasting system by adapting the proposed methods and show that the 8K-resolution contents are stably received and serviced with a low delay.

Development of upcycle fashion design using Picasso's works and deconstructivism (피카소 작품과 해체주의 특성을 활용한 업사이클 패션디자인 개발)

  • Haeun Hwang;Younhee Lee
    • The Research Journal of the Costume Culture
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    • v.31 no.6
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    • pp.720-737
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    • 2023
  • This study aims to merge Picasso's expressive elements and deconstructive fashion's formative traits, proposing an upcycle fashion design that fuses artistic and philoso-phical aspects. The analysis of Picasso's Cubism identified qualities like liberating revolution, fluidity of vision, geometric reducibility, complex symbolism, and creative imitation. The analysis of Derrida's deconstructionism revealed expressive traits: uncertainty, intertextuality, différance, and dis-de phenomenon. An upscale fashion design was developed based on six Picasso works featuring women. The design was created using the fashion design software CLO 3D and integrated clothing waste and scrap fabrics as materials.The results are as follows. First, upcycle fashion was viewed from a new perspective based on Picasso and Derrida's values. This perspective suggested creating better ethical values by upholding environmental protection in novel ways that overcome limitations rather than destroy existing values indiscriminately. Second, upcycle fashion design methodologies were derived from various perspectives utilizing formative features of Picasso's works and specific expressive features of deconstructed fashion. Third, the direction of mitigating waste and pollution from clothing production and transportation was revealed by making clothes in a virtual space using the CLO 3D program. This study contributed to obtaining various methods for developing upcycle fashion designs using own methods of Picasso and Derrida to diversify the approaches of upcycling, which is relatively stagnant in disassembling.

Advantages of Distal Subtotal Gastrectomy over Total Gastrectomy in the Quality of Life of Long-Term Gastric Cancer Survivors

  • Kwon, Oh Kyoung;Yu, Byunghyuk;Park, Ki Bum;Park, Ji Yeon;Lee, Seung Soo;Chung, Ho Young
    • Journal of Gastric Cancer
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    • v.20 no.2
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    • pp.176-189
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    • 2020
  • Purpose: This study evaluated differences and shifting patterns in the health-related quality of life (HRQoL) of 5-year gastric cancer survivors after either a distal subtotal gastrectomy (DSG) or total gastrectomy (TG). Materials and Methods: We analyzed the prospectively collected HRQoL data of 528 patients who survived 5 years without recurrence using the European Organization for the Research and Treatment of Cancer (EORTC) Core Quality of Life Questionnaire and the EORTC Quality of Life Questionnaire-Stomach module according to the type of surgery. The purpose was to identify the proportion of patients with deteriorating HRQoL and to assess the clinical significance of these changes. Results: Deteriorating HRQoL was prevalent in both groups, including a large proportion of the DSG group. Decreased overall health status and scores on several function scales were less in the DSG group, while increases on the symptom scales were higher in the TG group. For most of the scales, gaps in HRQoL during the early postoperative period did not merge within the 5 years. Scores on the diarrhea and body image scales revealed "moderate changes" in both groups. Conclusions: During the 5-year period after surgery, the TG group suffered from inferior HRQoL compared to the DSG group. However, a large proportion of the DSG group also suffered HRQoL deterioration. In general, the TG group experienced more HRQoL decline, with diarrhea and body image being the major concerns for both groups. To improve HRQoL after gastrectomy, patients must be better informed about post-gastrectomy symptoms. These symptoms must be vigorously investigated, and medical interventions should be available parallel to nutritional support. Favorable evidence of function-preserving gastrectomy should be established and disseminated to improve the HRQoL of early gastric cancer patients.

Multiple Description Video Coding Using Rate-Distortion Optimized DCT Coefficient Splitting (비트율-왜곡 최적화된 DCT 계수 분할을 이용한 다중 표현 동영상 압축 방법)

  • Kim, Il-Koo;Cho, Nam-Ik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.6
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    • pp.565-574
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    • 2002
  • We propose an algorithm for the robust transmission of video in error prone environment based on multiple description (MD) scheme and simple rate-distortion operators. The redundancy rate-distortion (RRD) criteria is used to split a one-layer compressed video stream into two correlated descriptions. The proposed algorithm can find more candidate points on the RRD curve than the conventional RRD based methods. A new distortion measure is also defined in this paper, which considers more realistic error environments. Since the proposed MD video coder is based on the standard H.263 coder, each description can be decoded independently by the standard H.263 decoder. Also, several descriptions can be decoded into a single stream by additional merge stage and the H.263 decoder. Simulation results show that the proposed MD video coder yields better performance than the conventional MD splitting algorithm at all bitrates both in single and two description cases.

Data Cleaning and Integration of Multi-year Dietary Survey in the Korea National Health and Nutrition Examination Survey (KNHANES) using Database Normalization Theory (데이터베이스 정규화 이론을 이용한 국민건강영양조사 중 다년도 식이조사 자료 정제 및 통합)

  • Kwon, Namji;Suh, Jihye;Lee, Hunjoo
    • Journal of Environmental Health Sciences
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    • v.43 no.4
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    • pp.298-306
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    • 2017
  • Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.

Efficient Image Segmentation Using Morphological Watershed Algorithm (형태학적 워터쉐드 알고리즘을 이용한 효율적인 영상분할)

  • Kim, Young-Woo;Lim, Jae-Young;Lee, Won-Yeol;Kim, Se-Yun;Lim, Dong-Hoon
    • The Korean Journal of Applied Statistics
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    • v.22 no.4
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    • pp.709-721
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    • 2009
  • This paper discusses an efficient image segmentation using morphological watershed algorithm that is robust to noise. Morphological image segmentation consists of four steps: image simplification, computation of gradient image and watershed algorithm and region merging. Conventional watershed segmentation exhibits a serious weakness for over-segmentation of images. In this paper we present a morphological edge detection methods for detecting edges under noisy condition and apply our watershed algorithm to the resulting gradient images and merge regions using Kolmogorov-Smirnov test for eliminating irrelevant regions in the resulting segmented images. Experimental results are analyzed in both qualitative analysis through visual inspection and quantitative analysis with percentage error as well as computational time needed to segment images. The proposed algorithm can efficiently improve segmentation accuracy and significantly reduce the speed of computational time.

3D Image Mergence using Weighted Bipartite Matching Method based on Minimum Distance (최소 거리 기반 가중치 이분 분할 매칭 방법을 이용한 3차원 영상 정합)

  • Jang, Taek-Jun;Joo, Ki-See;Jang, Bog-Ju;Kang, Kyeang-Yeong
    • Journal of Advanced Navigation Technology
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    • v.12 no.5
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    • pp.494-501
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    • 2008
  • In this paper, to merge whole 3D information of an occluded body from view point, the new image merging algorithm is introduced after obtaining images of body on the turn table from 4 directions. The two images represented by polygon meshes are merged using weight bipartite matching method with different weights according to coordinates and axes based on minimum distance since two images merged don't present abrupt variation of 3D coordinates and scan direction is one direction. To obtain entire 3D information of body, these steps are repeated 3 times since the obtained images are 4. This proposed method has advantage 200 - 300% searching time reduction rather than conventional branch and bound, dynamic programming, and hungarian method though the matching accuracy rate is a little bit less than these methods.

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