• Title/Summary/Keyword: Histograms

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Corrosion image analysis on galvanized steel by using superpixel DBSCAN clustering algorithm (슈퍼픽셀 DBSCAN 군집 알고리즘을 이용한 용융아연도금 강판의 부식이미지 분석)

  • Kim, Beomsoo;Kim, Yeonwon;Lee, Kyunghwang;Yang, Jeonghyeon
    • Journal of the Korean institute of surface engineering
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    • v.55 no.3
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    • pp.164-172
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    • 2022
  • Hot-dip galvanized steel(GI) is widely used throughout the industry as a corrosion resistance material. Corrosion of steel is a common phenomenon that results in the gradual degradation under various environmental conditions. Corrosion monitoring is to track the degradation progress for a long time. Corrosion on steel plate appears as discoloration and any irregularities on the surface. This study developed a quantitative evaluation method of the rust formed on GI steel plate using a superpixel-based DBSCAN clustering method and k-means clustering from the corroded area in a given image. The superpixel-based DBSCAN clustering method decrease computational costs, reaching automatic segmentation. The image color of the rusty surface was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space. In addition, two segmentation methods are compared for the particular spatial region using their histograms.

Comparison of Dose Statistics of Intensity-Modulated Radiation Therapy Plan from Varian Eclipse Treatment Planning System with Novel Python-Based Indigenously Developed Software

  • Sougoumarane Dashnamoorthy;Karthick Rajamanickam;Ebenezar Jeyasingh;Vindhyavasini Prasad Pandey;Kathiresan Nachimuthu;Imtiaz Ahmed;Pitchaikannu Venkatraman
    • Progress in Medical Physics
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    • v.33 no.3
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    • pp.25-35
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    • 2022
  • Purpose: Planning for radiotherapy relies on implicit estimation of the probability of tumor control and the probability of complications in adjacent normal tissues for a given dose distribution. Methods: The aim of this pilot study was to reconstruct dose-volume histograms (DVHs) from text files generated by the Eclipse treatment planning system developed by Varian Medical Systems and to verify the integrity and accuracy of the dose statistics. Results: We further compared dose statistics for intensity-modulated radiotherapy of the head and neck between the Eclipse software and software developed in-house. The dose statistics data obtained from the Python software were consistent, with deviations from the Eclipse treatment planning system found to be within acceptable limits. Conclusions: The in-house software was able to provide indices of hotness and coldness for treatment planning and store statistical data generated by the software in Oracle databases. We believe the findings of this pilot study may lead to more accurate evaluations in planning for radiotherapy.

Design of intelligent computing networks for a two-phase fluid flow with dusty particles hanging above a stretched cylinder

  • Tayyab Zamir;Farooq Ahmed Shah;Muhammad Shoaib;Atta Ullah
    • Computers and Concrete
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    • v.32 no.4
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    • pp.399-410
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    • 2023
  • This study proposes a novel use of backpropagated Levenberg-Marquardt neural networks based on computational intelligence heuristics to comprehend the examination of hybrid nanoparticles on the flow of dusty liquid via stretched cylinder. A two-phase model is employed in the present work to describe the fluid flow. The use of desulphated nanoparticles of silver and molybdenum suspended in water as base fluid. The mathematical model represented in terms of partial differential equations, Implementing similarity transformationsis model is converted to ordinary differential equations for the analysis . By adjusting the particle mass concentration and curvature parameter, a unique technique is utilized to generate a dataset for the proposed Levenberg-Marquardt neural networks in various nanoparticle circumstances on the flow of dusty liquid via stretched cylinder. The intelligent solver Levenberg-Marquardt neural networks is trained, tested and verified to identify the nanoparticles on the flow of dusty liquid solution for various situations. The Levenberg-Marquardt neural networks approach is applied for the solution of the hybrid nanoparticles on the flow of dusty liquid via stretched cylinder model. It is validated by comparison with the standard solution, regression analysis, histograms, and absolute error analysis. Strong agreement between proposed results and reference solutions as well as accuracy provide an evidence of the framework's validity.

An Efficient Scene Change Detection Algorithm Considering Brightness Variation (밝기 변화를 고려한 효율적인 장면전환 검출 알고리즘)

  • Kim Sang-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.2
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    • pp.74-81
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    • 2005
  • As the multimedia data increases, various scene change detection algorithms for video indexing and sequence matching have been proposed to efficiently manage and utilize digital media. In this paper, we propose a robust scene change detection algorithm for video sequences with abrupt luminance variations. To improve the accuracy and to reduce the computational complexity of video indexing with abrupt luminance variations, the proposed algorithm utilizes edge features as well as color features, which yields a remarkably better performance than conventional algorithms. In the proposed algorithm first we extract the candidate shot boundaries using color histograms and then determine using edge matching and luminance compensation if they are shot boundaries or luminance changes. If the scene contains trivial brightness variations, the edge matching and luminance compensation are performed only for shot boundaries. In experimental results, the proposed method gives remarkably a high performance and efficiency than the conventional methods with the similar computational complexity.

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Cell Cycle Arrest of Human Lung Carcinoma A549 Cells by an Aqueous Extract from the Roots of Platycodon grandiflorum (길경 수용액 추출물에 의한 인체 폐암세포의 성장억제 기전 연구)

  • Kang Rak Won;Lee Jae Hun;Kam Cheol Woo;Choi Byung Tae;Choi Yung Hyun;Park Dong Il
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.17 no.1
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    • pp.183-189
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    • 2003
  • Platycodi Radix, the root of Platycodon grandiflorum, commonly known as Doraji, is used as a traditional oriental medicine. Extracts from the roots of P. grandiflorum have been reported to have wide ranging health benefits. We investigated the effects of an aqueous extract from the roots of P. grandiflorum (AEPG) on the cell proliferation of human lung carcinoma A549 cells in order to understand its anti-proliferative mechanism. AEPG treatment resulted in the inhibition of cell proliferation in a concentration-dependent manner. This anti-proliferative effect of A549 cells by AEPG treatment was associated with morphological changes such as membrane shrinking, cell rounding up and inhibition of cell migration. DNA flow cytometric histograms showed that populations of both Sand G2/M phase of the cell cycle were increased by AEPG treatment in a concentration-dependent manner. AEPG treatment induced a marked accumulation of tumor suppressor p53 and a concomitant induction of cyclin-dependent kinase (Cdk) inhibitor p21 and p27. In addition, SSS treatment resulted in down-regulation of Cdk2 and Cdk4 expression. The present results indicated that AEPG-induced inhibition of lung cancer cell proliferation is associated with the blockage of S to G2/M phase progression the induction of apoptosis. Taken together, these findings suggest that P. grandiflorum has strong potential for development as an agent for prevention against human lung cancer.

Induction of Cdk inhibitor p27 and Inhibition of pRB Phosphorylation by Insamsapye-tang Treatment in Human Lung Cancer A549 Cells (인체 폐암세포에서 인삼사폐탕에 의한 Cdk inhibitor p27의 발현 증가 및 pRB의 인산화 억제)

  • Lee Min Woo;Seo Chang Hun;Park Cheol;Lee Won Ho;Choi Yung Hyun;Park Dong Il
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.17 no.1
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    • pp.213-219
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    • 2003
  • We investigated the effects of Insamsapye-tang (ISSPT) water extract on the cell proliferation of human lung carcinoma A549 cells. ISSPT treatment resulted in the inhibition of cell proliferation in a concentration-dependent manner. This anti-proliferative effect of A549 cells by ISSSPT treatment was associated with morphological changes such as membrane shrinking and cell rounding up. DNA flow cytometric histograms showed that population of G1 phase of the cell cycle was increased by ISSPT treatment in a concentration-dependent manner. ISSPT treatment induced the levels of tumor suppressor p53 protein and cyclin-dependent kinase (Cdk) inhibitor p27 without significant alteration of cyclins and Cdks expression. In addition, ISSPT treatment resulted in down-regulation of phosphorylated retinoblastoma protein (pRB). However, the levels of p130, the pRB family protein, and transcription factors. E2F-1 and E2F-4. were remained unchanged. The present results indicated that ISSPT-induced inhibition of lung cancer cell proliferation is associated with the blockage of G1/S progression and the induction of apoptosis, and we suggest that ISSPT will be an effective therapeutic agent on human lung cancer.

Implementation of a Content-Based Image Retrieval System with Color Assignments (칼라 지정을 이용한 내용기반 화상검색 시스템 구현)

  • Kim, Cheol-Won;Choi, Ki-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.4
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    • pp.933-943
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    • 1997
  • In this paper, a conernt-based image retrival system with color assigments has been stueide and implment-ed. The color of images has been extracted after changing RGB color space to HSV(hue, saturation, value)that is the most compatible color for peop]e's feeling. In the color extracting, an image is divided into 9 different areasand 3 major colors for each area are selected by using color histograms. It is possible to chose the class of umages by keywords. We are evaluate four different types of queries such as an image input, keywords with color assignments, combining an image input and keywords with color assinments, and selecting specific part of an umage. Experimental rusults show that four different query types privide precision/recall 0.55/0.37, 0.57/0.43, 0.59/0.45 and 0.63/0.61, respectively. With color assignments, the retrieval system has been able to obtain high performance and validity.

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A Study for Improved Human Action Recognition using Multi-classifiers (비디오 행동 인식을 위하여 다중 판별 결과 융합을 통한 성능 개선에 관한 연구)

  • Kim, Semin;Ro, Yong Man
    • Journal of Broadcast Engineering
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    • v.19 no.2
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    • pp.166-173
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    • 2014
  • Recently, human action recognition have been developed for various broadcasting and video process. Since a video can consist of various scenes, keypoint approaches have been more attracted than template based methods for real application. Keypoint approahces tried to find regions having motion in video, and made 3-dimensional patches. Then, descriptors using histograms were computed from the patches, and a classifier based on machine learning method was applied to detect actions in video. However, a single classifier was difficult to handle various human actions. In order to improve this problem, approaches using multi classifiers were used to detect and to recognize objects. Thus, we propose a new human action recognition using decision-level fusion with support vector machine and sparse representation. The proposed method extracted descriptors based on keypoint approach from a video, and acquired results from each classifier for human action recognition. Then, we applied weights which were acquired by training stage to fuse each results from two classifiers. The experiment results in this paper show better result than a previous fusion method.

A Practical Model for the Fatigue Reliability Analysis of Steel Highway Bridges (강도로교의 피로신뢰성 해석을 위한 실용적 모형)

  • 신재철;장동일;이성재;조효남
    • Computational Structural Engineering
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    • v.1 no.1
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    • pp.113-122
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    • 1988
  • A practical model for predicting the risk of fatigue failure of steel highway bridges is developed in this study. The proposed model is derived from fatigue reliability methods by incorporating various factors which may affect the fatigue life of bridges. The fatigue reliability function is assumed to follow the Weibull distribution. The computational form of the Weibull is adopted from Ang-Munse's approach that includes all the statistical uncertainties of the fatigue life of steel members and the stress ranges under variable amplitude loadings. The model accounts for the variation in ADTT, the change in stress history and the effects of inspections, which may occur during the serivce life of bridges. Stress range histograms are collected from the random stress spectra based on the field measurements of an existing bridge, and, thus, the resulting stress range frequency distribution is modelled with a beta distribution. The results of applications of the proposed fatigue analysis methods to an existing bridge show that the proposed models with the computer program developed for numerical computations can be used as a practical tool for the fatigue rating or for the predictions of the remaining fatigue life of deteriorated existing steel bridges.

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Adaptive Optimal Thresholding for the Segmentation of Individual Tooth from CT Images (CT영상에서 개별 치아 분리를 위한 적응 최적 임계화 방안)

  • Heo, Hoon;Chae, Ok-Sam
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.163-174
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    • 2004
  • The 3D tooth model in which each tooth can be manipulated individualy is essential component for the orthodontic simulation and implant simulation in dental field. For the reconstruction of such a tooth model, we need an image segmentation algorithm capable of separating individual tooth from neighboring teeth and alveolar bone. In this paper we propose a CT image normalization method and adaptive optimal thresholding algorithm for the segmenation of tooth region in CT image slices. The proposed segmentation algorithm is based on the fact that the shape and intensity of tooth change gradually among CT image slices. It generates temporary boundary of a tooth by using the threshold value estimated in the previous imge slice, and compute histograms for the inner region and the outer region seperated by the temporary boundary. The optimal threshold value generating the finnal tooth region is computed based on these two histogram.