• Title/Summary/Keyword: mask-map

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Effect of the Application of Temporal Mask Map on the Relationship between NDVI and Rice Yield (시계열 마스크 맵이 논벼 NDVI와 단수와의 관계에 미치는 영향)

  • Na, Sang-il;Ahn, Ho-yong;Park, Chan-won;Hong, Suk-young;So, Kyu-ho;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.725-733
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    • 2020
  • The objectives of this study were (1) to develop a temporal mask map using MCD12Q1 data, and (2) to extract the annual variations in paddy, (3) to investigate the correlation analysis between MYD13Q1 NDVI and rice yield, and (4) to review its applicability. For these purposes, the temporal mask map was created using annual MCD12Q1 PFT data from 2002 to 2019, and compared with the fixed mask map. As a result, it found that the temporal mask map well reflected the variations of the paddy area. In addition, the correlation coefficient between NDVI and rice yield was also high significant as compared to the fixed mask map. Therefore, the temporal mask map will be useful for NDVI extraction, crop monitoring, and estimation of rice yield.

Shadow Modeling using Z-map Algorithm for Process Simulation of OLED Evaporation

  • Lee, Eung-Ki
    • 한국정보디스플레이학회:학술대회논문집
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    • 2004.08a
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    • pp.487-490
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    • 2004
  • In order to simulate OLED evaporation process, modeling of directional distribution of the vaporized organic materials, film thickness distribution profile and pattern-mask shadow effect are required In accordance with many literatures; all of them except shadow effect modeling are studied and developed. In this paper, modeling algorithm of evaporation shadow is presented for process simulation of full-color OLED evaporating system. In OLED evaporating process the offset position of the point cell-source against the substrate rotation axis and the usage of the patterned mask are the principal causes for evaporation shadow. For geometric simulation of shadow using z-map, the film thickness profile, which is condensed on a glass substrate, is converted to the z-map data. In practical evaporation process, the glass substrate is rotated. This physical fact is solved and modeled mathematically for z-map simulation. After simulating the evaporation process, the z-map data can present the shadow-effected film thickness profile. Z-map is an efficient method in that the cross-sectional presentations of the film thickness profile and thickness distribution evaluation are easily and rapidly achieved.

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Semiconductor Process Inspection Using Mask R-CNN (Mask R-CNN을 활용한 반도체 공정 검사)

  • Han, Jung Hee;Hong, Sung Soo
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.3
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    • pp.12-18
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    • 2020
  • In semiconductor manufacturing, defect detection is critical to maintain high yield. Currently, computer vision systems used in semiconductor photo lithography still have adopt to digital image processing algorithm, which often occur inspection faults due to sensitivity to external environment. Thus, we intend to handle this problem by means of using Mask R-CNN instead of digital image processing algorithm. Additionally, Mask R-CNN can be trained with image dataset pre-processed by means of the specific designed digital image filter to extract the enhanced feature map of Convolutional Neural Network (CNN). Our approach converged advantage of digital image processing and instance segmentation with deep learning yields more efficient semiconductor photo lithography inspection system than conventional system.

3D Clothes Modeling of Virtual Human for Metaverse (메타버스를 위한 가상 휴먼의 3차원 의상 모델링)

  • Kim, Hyun Woo;Kim, Dong Eon;Kim, Yujin;Park, In Kyu
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.638-653
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    • 2022
  • In this paper, we propose the new method of creating 3D virtual-human reflecting the pattern of clothes worn by the person in the high-resolution whole body front image and the body shape data about the person. To get the pattern of clothes, we proceed Instance Segmentation and clothes parsing using Cascade Mask R-CNN. After, we use Pix2Pix to blur the boundaries and estimate the background color and can get UV-Map of 3D clothes mesh proceeding UV-Map base warping. Also, we get the body shape data using SMPL-X and deform the original clothes and body mesh. With UV-Map of clothes and deformed clothes and body mesh, user finally can see the animation of 3D virtual-human reflecting user's appearance by rendering with the state-of-the game engine, i.e. Unreal Engine.

Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

  • Li, Jianzhong
    • Journal of the Optical Society of Korea
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    • v.20 no.3
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    • pp.341-357
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    • 2016
  • A novel asymmetric multiple-image encryption method using an octonion Fresnel transform (OFST) and a two-dimensional Sine Logistic modulation map (2D-SLMM) is presented. First, a new multiple-image information processing tool termed the octonion Fresneltransform is proposed, and then an efficient method to calculate the OFST of an octonion matrix is developed. Subsequently this tool is applied to process multiple plaintext images, which are represented by octonion algebra, holistically in a vector manner. The complex amplitude, formed from the components of the OFST-transformed original images and modulated by a random phase mask (RPM), is used to derive the ciphertext image by employing an amplitude- and phase-truncation approach in the Fresnel domain. To avoid sending whole RPMs to the receiver side for decryption, a random phase mask generation method based on SLMM, in which only the initial parameters of the chaotic function are needed to generate the RPMs, is designed. To enhance security, the ciphertext and two decryption keys produced in the encryption procedure are permuted by the proposed SLMM-based scrambling method. Numerical simulations have been carried out to demonstrate the proposed scheme's validity, high security, and high resistance to various attacks.

A Study of The Purchasing Tendency of Health-care Masks Based on The User-centered Design Concept-centered on the Form and Color of the Mask (사용자 중심 디자인개념에 기초한 보건용 마스크의 구매 경향성에 관한 연구 - 마스크의 형태와 색상 중심으로)

  • Ma, Lin;Kim, Myung-Soo
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.143-154
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    • 2020
  • Due to the widespread of COVID-19 pandemics, as the health care supplies. Thus the facial mask has been transformed from personal health product into social epidemic prevention product, and its design is more inclined to be User-centered design. First employed health facial mask which is sold in the market as the method subject, under the concept of " User-centered design", this article analyzes the design elements such as appearance and color of the facial mask. Second used the analysis approach of sample, character and positioning map, this article conducts the comparative analysis research of collected sample and data and find the relationship of User-centered design, purchase tendency and health care facial mask. When the users purchase the mask, through the research on the relationship between the choice of form or color of mask and design element of mask, it can compensate for the blank spot of design and has some references.

Seam Carving based Occlusion Region Compensation Algorithm (심카빙 기반 가려짐 영역 보상 기법)

  • An, Jae-Woo;Yoo, Ji-Sang
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.573-583
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    • 2011
  • In this paper, we propose an occlusion compensation algorithm which is used for virtual view generation. In general, since occlusion region is recovered from neighboring pixels by taking the mean value or median value of neighbor pixels, the visual characteristics of a given image are not considered and consequently the accuracy of the compensated occlusion regions is not guaranteed. To solve these problem, we propose an algorithm that considers primary visual characteristics of a given image to compensate the occluded regions by using seam carving algorithm. In the proposed algorithm, we first use Sobel mask to obtain the edge map of a given image and then make it binary digit 0 or 1 and finally thinning process follows. Then, the energy patterns of original and thinned edge map obtained by the modified seam carving method are used to compensate the occlusion regions. Through experiments with many test images, we verify that the proposed algorithm performed better than conventional algorithms.

3-DTIP: 3-D Stereoscopic Tour-Into-Picture Based on Depth Map (3-DTIP: 깊이 데이터 기반 3차원 입체 TIP)

  • Jo, Cheol-Yong;Kim, Je-Dong;Jeong, Da-Un;Gil, Jong-In;Lee, Kwang-Hoon;Kim, Man-Bae
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.28-30
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    • 2009
  • This paper describes a 3-DTIP(3-D Tour Into Picture) using depth map for a Korean classical painting being composed of persons and landscape. Unlike conventional TIP methods providing 2-D image or video, our proposed TIP can provide users with 3-D stereoscopic contents. Navigating inside a picture provides more realistic and immersive perception. The method firstly makes depth map. Input data consists of foreground object, background image, depth map, foreground mask. Firstly we separate foreground object and background, make each of their depth map. Background is decomposed into polygons and assigned depth value to each vertexes. Then a polygon is decomposed into many triangles. Gouraud shading is used to make a final depth map. Navigating into a picture uses OpenGL library. Our proposed method was tested on "Danopungjun" and "Muyigido" that are famous paintings made in Chosun Dynasty. The stereoscopic video was proved to deliver new 3-D perception better than 2-D video.

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A Design and Implementation of Bus Information Notification Application

  • Kang, A-Yeon;Lee, Tae-Hyeon;Lee, Na-Kyung;Lee, Won-Joo
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.6
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    • pp.81-88
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    • 2021
  • In this paper, we design and implement a bus information notification application based on the GPS sensor of a smartphone. This application provides the ability to check bus stops within a radius of 200m based on the current user's location using the smartphone's GPS sensor, Google Map, and open API. In addition, if you click the marker of the desired stop, you can see the name of the stop, and click the view arrival information button to check the detailed bus arrival information of the stop. In addition, it provides a function to check the location information of pharmacies, nonghyups, and post offices that sell public masks, the names of public mask stores, and mask inventory through the public mask store button. Each icon was used differently to make visual differences in order to easily indicate the difference between the times of public mask sales and bus stops. In addition, if you want to know the information of other bus stops and the route of the desired bus, not around the user's location, click the bus stop search button. Finally, after storing the destination stop or location, it implements a function that provides an alarm when it approaches the location.

The Background Segmentation of the Target Object for the Stereo Vision System (스테레오 비젼 시스템을 위한 표적물체의 배경 분리)

  • Ko, Jung Hwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.1
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    • pp.25-31
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    • 2008
  • In this paper, we propose a new method that separates background and foreground from stereo images. This method can be improved automatic target tracking system by using disparity map of the stereo vision system and background-separating mask, which can be obtained camera configuration parameters. We use disparity map and camera configuration parameters to separate object from background. Disparity map is made with block matching algorithm from stereo images. A morphology filter is used to compensate disparity error that can be caused by occlusion area. We could obtain a separated object from background when the proposed method was applied to real stereo cameras system.