• Title/Summary/Keyword: Sequential images

Search Result 259, Processing Time 0.033 seconds

Spatio-Temporal Variations of Harmful Algal Blooms in the South Sea of Korea

  • Kim, Dae-Hyun;Denny, Widhiyanuriyawan;Min, Seung-Hwan;Lee, Dong-In;Yoon, Hong-Joo
    • Korean Journal of Remote Sensing
    • /
    • v.25 no.6
    • /
    • pp.475-486
    • /
    • 2009
  • Harmful algal blooms (HAB) caused by the dominant species Cochlodinium polykrikoides (C. polykrikoides) appear in the South Sea of Korea and are particularly present in summer and fall seasons. Environmental factors such as water temperature, weather conditions (air temperature, cloud cover, sunshine, precipitation and wind) influence on the initiation and subsequent development of HAB. The purpose of this research was to study spatial and temporal variations of HAB in the Yeosu area using environmental (oceanic and meteorological) and satellite data. Chlorophyll-a concentrations were calculated using Sea-viewing Wide Field-of-view Sensor (SeaWiFS) images by an Ocean Chlorophyll 4 (OC4) algorithm, and HAB were estimated using the Red tide index Chlorophyll Algorithm (RCA). We also used the surface velocity of sequential satellite images applying the Maximum Cross Correlation method to detect chlorophyll-a movement. The results showed that the water temperature during HAB occurrences in August 2002-2008 was $19.4-30.2^{\circ}C$. In terms of the frequency of the mean of cell density of C. polykrikoides, the cell density of the HAB found at low (<300 cells/ml), medium (300-1000 cells/ml), and high (>1000 cells/ml) levels were 27.01%, 37.44%, and 35.55%, respectively. Meteorological data for 2002-2008 showed that the mean air temperature, precipitation, wind speed and direction, and sunshine duration were $22.39^{\circ}C$, 6.54 mm/day, 3.98 m/s (southwesterly), and 1-11.7 h, respectively. Our results suggest that HAB events in the Yeosu area can be triggered and extended by heavy precipitation and massive movement of HAB from the East China Sea. Satellite images data from July to October 2002-2006 showed that the OC4 algorithm generally estimated high chlorophyll-a concentration ($2-20\;mg/m^3$) throughout the coastal area, whereas the RCA estimated concentrations at $2-10\;mg/m^3$. The surface velocity of chlorophyll-a movement from sequential satellite images revealed the same patterns in the direction of the Tsushima Warm Current.

Study of 68Ga Labelled PET/CT Scan Parameters Optimization (68Ga 표지 PET/CT 검사의 최적화된 매개변수에 대한 연구)

  • In Suk Kwak;Hyuk Lee;Si Hwal Kim;Seung Cheol Moon
    • The Korean Journal of Nuclear Medicine Technology
    • /
    • v.27 no.2
    • /
    • pp.111-127
    • /
    • 2023
  • Purpose: Gallium-68 (68Ga) is increasingly used in nuclear medicine imaging for various conditions such as lymphoma and neuroendocrine tumors by labeling tracers like Prostate Specific Membrane Antigen (PSMA) and DOTA-TOC. However, compared to Fluorine-18 (18F) used in conventional nuclear medicine imaging, 68Ga has lower spatial resolution and relatively higher Signal to Background Ratio (SBR). Therefore, this study aimed to investigate the optimized parameters and reconstruction methods for PET/CT imaging using the 68Ga radiotracer through model-based image evaluation. Materials and Methods: Based on clinical images of 68Ga-PSMA PET/CT, a NEMA/IEC 2008 PET phantom model was prepared with a Hot vs Background (H/B) ratio of 10:1. Images were acquired for 9 minutes in list mode using DMIDR (GE, Milwaukee WI, USA). Subsequently, reconstructions were performed for 1 to 8 minutes using OS-EM (Ordered Subset Expectation Maximization) + TOF (Time of Flight) + Sharp IR (VPFX-S), and BSREM (Block Sequential Regularized Expectation Maximization) + TOF + Sharp IR (QCFX-S-400), followed by comparative evaluation. Based on the previous experimental results, images were reconstructed for BSREM + TOF + Sharp IR / 2 minutes (QCFX-S-2min) with varying β-strength values from 100 to 700. The image quality was evaluated using AMIDE (freeware, Ver.1.0.1) and Advanced Workstation (GE, USA). Results: Images reconstructed with QCFX-S-400 showed relatively higher values for SNR (Signal to Noise Ratio), CNR (Contrast to Noise Ratio), count, RC (Recovery Coefficient), and SUV (Standardized Uptake Value) compared to VPFX-S. SNR, CNR, and SUV exhibited the highest values at 2 minutes/bed acquisition time. RC showed the highest values for a 10 mm sphere at 2 minutes/bed acquisition time. For small spheres of 10 mm and 13 mm, an inverse relationship between β-strength increase and count was observed. SNR and CNR peaked at β-strength 400 and then decreased, while SUV and RC exhibited a normal distribution based on sphere size for β-strength values of 400 and above. Conclusion: Based on the experiments, PET/CT imaging using the 68Ga radiotracer yielded the most favorable quantitative and qualitative results with a 2 minutes/bed acquisition time and BSREM reconstruction, particularly when applying β-strength 400. The application of BSREM can enhance accurate quantification and image quality in 68Ga PET/CT imaging, and an optimization process tailored to each institution's imaging objectives appears necessary.

Ridge Feature Extraction of Fingerprint Using Sequential Labeling (순차적 레이블링을 이용한 지문 융선 특징 검출)

  • 오재윤;엄재원;최태영
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.40 no.3
    • /
    • pp.217-226
    • /
    • 2003
  • A novel fingerprint ridge feature extraction using sequential labeling of thinned fingerprint image is proposed, which is invariant to position translation, scaling, and rotation. the proposed algorithm labels ridges of thinned fingerprint image sequentially using vertical line that goes through fingerprint core point. Then, we extract a feature from each labeled ridge and the extraction process is based on the type fo the ridge and a minutiae ridge angle in the ridge. The feature extracted through this process enables us to find out the kind of various minutiae and minutiae angle. As a result of the experiment using two thinned fingerprint images, we finally confirm that proposed algorithm is not related to position translation, scaling, and rotation.

Sequential Stereoscopic Display System based on a Volume Holographic Memory (체적 홀로그래픽 메모리를 이용한 스테레오스코픽 동영상 디스플레이 시스템)

  • Lee, Seung-Hyeon;Seon, Gwang-Cheol;Kim, Eun-Su
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.37 no.2
    • /
    • pp.22-27
    • /
    • 2000
  • We present a sequential stereoscopic display system using volume holographic storage. Multiple angular multiplexed stereoscopic image pairs are recorded into a photorefractive crystal that can store data with high density, transfer them with high speed, and select a randomly chosen data element. The reference beam with Bragg selectivity is scattered by the index grating and the diffracted beams are propagating along the directions of the stereoscopic image pairs. The images are to be suitably projected on the left and right display plane sequentially for stereoscopic video viewing.

  • PDF

Sequential Defect Detection According to Defect Possibility in TFT-LCD Panel Image (TFT-LCD 패널 영상에서 결함 가능성에 따른 순차적 결함 검출)

  • Lee, SeungMin;Kim, Tae-Hun;Park, Kil-Houm
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.51 no.4
    • /
    • pp.123-130
    • /
    • 2014
  • In TFT-LCD panel images, defects are typically detected by using a large difference in the brightness compared to the background. In this paper, we propose a sequential defect detection algorithm according to defect possibility caused by difference of brightness. By using this method, pixels with high defect probabilities are preferentially detected and defects with a large brightness difference are accurately detected. Also, limited defects with a small brightness difference is detected more reliably, eventually minimizing the degree of over-detection. We have experimentally confirmed that our proposed method showed an excellent detection result for detecting limited defects as well as defects with a large brightness difference.

Channel Color Energy Feature Representing Color and Texture in Content-Based Image Retrieval (내용기반 영상검색에서 색과 질감을 나타내는 채널색에너지)

  • Jung Jae Woong;Kwon Tae Wan;Park Seop Hyeong
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.41 no.1
    • /
    • pp.21-28
    • /
    • 2004
  • In the field of content-based image retrieval, many numerical features have been proposed for representing visual image content such as color, torture, and shape. Because the features are assumed to be independent, each of them is extracted without ny consideration of the others. In this paper, we consider the relationship between color and texture and propose a new feature called CCE(channel color energy). Simulation results with natural images show that the proposed method outperforms the conventional regular weighted comparison method and SCFT(sequential chromatic Fourier transform)-based color torture method.

Development of Digital Image Acquisition Technique for Momentary Positioning of Dynamic Object (동체의 순간 위치결정을 위한 수치영상 획득기법 개발)

  • Han, Seung-Hee;Kang, Joon-Mook
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.4 no.2 s.8
    • /
    • pp.47-54
    • /
    • 1996
  • It needs more than two images which are obtained in real time to decide 3D positioning of dynamic object. Though we use digital camera which is became wide utilization, but it can't obtain sequential image. So, in this study, we constructed momentary image acquisition system using video camera. Also, we took a photograph of LCD timer and dynamic object together for real time stereo image, and we obtained independent digital image from sequential image using video editor. As a result of the study, we could obtain the independent image as true color digital image of $788{\times}550$pixels with 1/100sec accuracy in the same time. And it was good when we tested object target. For comparing 3D positioning accuracy, we could obtained negative with metric camera using B-shutter.

  • PDF

Nanoparticle Ferrite Multilayers Prepared by New Self-Assembling Sequential Adsorption Method

  • Kim, Yeong-Il;Kang, Ho-Jun;Kim, Don;Lee, Choong-Sub
    • Bulletin of the Korean Chemical Society
    • /
    • v.24 no.5
    • /
    • pp.593-599
    • /
    • 2003
  • The nanoparticle magnetite of which diameter was about 3 nm was synthesized in a homogeneous aqueous solution without a template. The synthesized magnetite nanoparticle was easily oxidized to maghemite in an ambient condition. The magnetic properties of the ferrite nanoparticle show superparamagnetism at room temperature and its blocking temperature is around 93 K. Modifying the sequential adsorption method of metal bisphosphonate, we have prepared a multilayer thin film of the ferrite nanoparticle on planar substrates such as glass, quartz and Si wafer. In this multilayer the ferrite nanoparticle layer and an alkylbisphosphonate layer are alternately placed on the substrates by simple immersion in the solutions of the ferrite nanoparticle and 1, 10-decanediylbis (phosphonic acid) (DBPA), alternately. This is the first example, as far as we know, of nanoparticle/alkyl-bisphosphonate multilayer which is an analogy of metal bisphosphonate multilayer. UV-visible absorption and infrared reflection-absorption studies show that the growth of each layer is very systematic and the film is considerably optically transparent to visible light of 400-700 nm. Atomic force microscopic images of the film show that the surface morphology of the film follows that of the substrate in μm-scale image and the nanoparticle-terminated surface is differentiated from the DBPA-terminated one in nm-scale image. The magnetic properties of this ferrite/DBPA thin film are almost the same as those of the ferrite nanoparticle powder only.

An Improved Hybrid Approach to Parallel Connected Component Labeling using CUDA

  • Soh, Young-Sung;Ashraf, Hadi;Kim, In-Taek
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.16 no.1
    • /
    • pp.1-8
    • /
    • 2015
  • In many image processing tasks, connected component labeling (CCL) is performed to extract regions of interest. CCL was usually done in a sequential fashion when image resolution was relatively low and there are small number of input channels. As image resolution gets higher up to HD or Full HD and as the number of input channels increases, sequential CCL is too time-consuming to be used in real time applications. To cope with this situation, parallel CCL framework was introduced where multiple cores are utilized simultaneously. Several parallel CCL methods have been proposed in the literature. Among them are NSZ label equivalence (NSZ-LE) method[1], modified 8 directional label selection (M8DLS) method[2], and HYBRID1 method[3]. Soh [3] showed that HYBRID1 outperforms NSZ-LE and M8DLS, and argued that HYBRID1 is by far the best. In this paper we propose an improved hybrid parallel CCL algorithm termed as HYBRID2 that hybridizes M8DLS with label backtracking (LB) and show that it runs around 20% faster than HYBRID1 for various kinds of images.

Unsupervised Change Detection Based on Sequential Spectral Change Vector Analysis for Updating Land Cover Map (토지피복지도 갱신을 위한 S2CVA 기반 무감독 변화탐지)

  • Park, Nyunghee;Kim, Donghak;Ahn, Jaeyoon;Choi, Jaewan;Park, Wanyong;Park, Hyunchun
    • Korean Journal of Remote Sensing
    • /
    • v.33 no.6_2
    • /
    • pp.1075-1087
    • /
    • 2017
  • In this study, we tried to utilize results of the change detection analysis for satellite images as the basis for updating the land cover map. The Sequential Spectral Change Vector Analysis ($S^2CVA$) was applied to multi-temporal multispectral satellite imagery in order to extract changed areas, efficiently. Especially, we minimized the false alarm rate of unsupervised change detection due to the seasonal variation using the direction information in $S^2CVA$. The binary image, which is the result of unsupervised change detection, was integrated with the existing land cover map using the zonal statistics. And then, object-based analysis was performed to determine the changed area. In the experiment using PlanetScope data and the land cover map of the Ministry of Environment, the change areas within the existing land cover map could be detected efficiently.