• Title/Summary/Keyword: morphological operation

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Hierarchical Segmentation of Monumental Inscription Image (금석문 영상의 계층적 분할)

  • 최호형;박영식;김기석
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.05c
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    • pp.315-319
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    • 2002
  • The study on shilla monumental inscription has been accomplished by many historians. However, the research on segmentation of monumental inscription image using digital image processing technique is not sufficient. The preprocessing using computer is needed for accurate interpretation of history. In this paper, A morphological filtering using directional information is presented. Directional filtering is effective in reducing noises and preserving edges. The opening and closing operations in the 1st stage are performed for the pixel is aligned to the vertical, horizontal and two diagonal directions. The Opening operation supresses the positive impulse noise while the closing operation the negative ones. Then Directional filter and post-processing are applied to the image. Experimental result shows outstanding performance for interpretation.

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Congenital Polydactyly of the Foot (선천성 족부 다지증)

  • Hwang, Kuhn-Sung;Kim, Tae-Seung;Sung, Il-Hoon;Park, Jun-Sic
    • Journal of Korean Foot and Ankle Society
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    • v.5 no.2
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    • pp.120-128
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    • 2001
  • Purpose: This study was undertaken to review the precise morphological patter'ns of polydactyly of the foot and to evaluate outcomes of surgical interventions. Materials and Methods: The records of patients who had polydactyly of foot from 1983 to 2000 were reviewed retrospectively. 29 duplicated toes(24 patients) were analyzed. All cases were evaluated and classified with Temtamy and McKusick's axial pattern, Watanabe's morphologic pattern and level of duplication. Clinical evaluation was performed according to Phelps and Grogan's. Mean age at surgery was 5.7 years(range: 10 months$\sim21$ years). All the patients were subsequently evaluated during mean 17 months(range: 13 months-$\sim5$ years). Results: Preaxial polydactyly was seen in 3 cases, central polydactyly in 3 cases, postaxial polydactyly in 22 cases and remaining 1 case was multiple my involvement. Only 2 patients have familial history and the most common associated anomaly was hand deformity(20.8%). Clinical results were excellent in 14 cases, good in 5 cases, poor in one. 17 patients(70%) were operated before 6 years olds and they had better results than those of who were operated after 6 years olds. Conclusion: The Method of surgical correction for the polydactyly should be individualized by its morphological pattern because the purpose of operation was to give comfort in wearing shoes and patient's psychological relief. This study showed that polydactyly of the foot could be corrected surgically with good results in most cases, and the better results would be achieved if the operation is performed before preschool age according to its individualized pattern of duplication.

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VLSI Architecture Design of Reconstruction Filter for Morphological Image Segmentation (형태학적 영상 분할을 위한 재구성 필터의 VLSI 구조 설계)

  • Lee, Sang-Yeol;Chung, Eui-Yoon;Lee, Ho-Young;Kim, Hee-Soo;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.12
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    • pp.41-50
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    • 1999
  • In this paper, the new VLSI architecture of a reconstruction filter for morphological image segmentation is proposed. The filter, based on the $h_{max}$ operation, simplifies the interior of each region while preserving the boundary information. The proposed architecture adopts a partitioned memory structure and an efficient image scanning strategy to reduce the operations. The proposed memory partitioning scheme makes it possible that every data required for processing can be read from each memory at a time, resulting in parallel data processing. By the extended connectivity consideration, the operation is much decreased because more simplification is achieved in scanning stage. The selective raster scan strategy endows the satisfactory noise removal capability with negligible hardware complexity increase. The proposed architecture is designed using VHDL, and functional evaluation is performed by the CAD tool, Mentor. The experiment results show that the proposed architecture can simplify image profile with less than 18% operations of the conventional method.

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Estimation algorithm of ocean surface temperature flow based on Morphological Operation (형태학적 연산에 기반한 해수면 온도 분포 추정 알고리즘)

  • Gu, Eun-Hye;Cho, Woong-Ho;Park, Kil-Houm
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.2
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    • pp.253-260
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    • 2012
  • Target detection is very difficult with complex clutters in IRST(Infrared Search and Track) system for a long distance target. Especially sea-clutter and ocean-surface with non-uniform temperature distribution make it difficult to detect incoming targets in images obtained in sea environment. In this paper, we propose a novel method based on morphological method for estimation of ocean surface with non-uniform temperature flow. In order to estimate the exact ocean surface temperature flow, we divided it into upper and lower bound flow. And after estimating it, the final ocean surface temperature flow is derived by a mean value of the estimated results. Also, we apply the multi-weighted technique with a variety of sizes of structure elements to overcome sub-sampling effect by using morphology method. Experimental results for ocean surface images acquired from many different environments are compared with results of existing method to verify the performance of the proposed methods.

A Computer Vision-based Method for Detecting Rear Vehicles at Night (컴퓨터비전 기반의 야간 후방 차량 탐지 방법)

  • 노광현;문순환;한민홍
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.3
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    • pp.181-189
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    • 2004
  • This paper describes the method for detecting vehicles in the rear and rear-side at night by using headlight features. A headlight is the outstanding feature that can be used to discriminate a vehicle from a dark background. In the segmentation process, a night image is transformed to a binary image that consists of black background and white regions by gray-level thresholding, and noise in the binary image is eliminated by a morphological operation. In the feature extraction process, the geometric features and moment invariant features of a headlight are defined, and they are measured in each segmented region. Regions that are not appropriate to a headlight are filtered by using geometric feature measurement. In region classification, a pair of headlights is detected by using relational features based on the symmetry of a pair of headlights. Experimental results show that this method is very applicable to an approaching vehicle detection system at nighttime.

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Removing Baseline Drift from ECG Signal Using Smoothing Spline and Morphology Operation (평활화 스플라인 연산과 형태학 연산을 이용한 기저선 변동 잡음 제거)

  • Back, Seung-Gwan;Choi, Chang-Hoon;Kim, Jeong-Hong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.162-171
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    • 2017
  • Low frequency noise components causes the baseline drift in the ECG signals. In this paper, a morphological operation and smoothing spline technique are used for ECG signal processing in order to accomplish baseline correction. Removing the baseline drift from ECG signal using morphology operation, the feature of original signal may be distorted. To resolve this distortion problem, we applied a smoothing spline operation after morphology operation. In order to compare with existing morphology operation method for baseline correction, we apply proposed method to ECG data in MIT/BIH database. Compared to other existing method, our proposed method achieved low data distortion on the original signal.

Against the Asymmetric CP- V2 Analysis of Old English

  • Yoon, Hee-Cheol
    • Korean Journal of English Language and Linguistics
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    • v.4 no.2
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    • pp.117-149
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    • 2004
  • The paper is to argue against the asymmetric CP-V2 analysis of Old English, according to which finite verbs invariably undergo movement into a clause-final T within subordinate clauses and reach the functional head C within main clauses. The asymmetric CP-V2 analysis, first of all, faces difficulty in explaining a wide range of post-verbal elements within subordinate clauses. To resolve the problem, the analysis has to abandon the obligatoriness of V-to-T movement or introduce various types of extraposition whose status is dubious as a legitimate syntactic operation. Obligatory V-to-T movement in Old English lacks conceptual justification as well. Crosslinguistic evidence reveals that morphological richness in verbal inflection cannot entail overt verb movement. Moreover, the operation is always string-vacuous under the asymmetric CP- V2 analysis and has no effect at the interfaces, in violation of the principle of economy. The distribution of Old English finite verbs in main clauses also undermines the asymmetric CP-V2 analysis. Conceptually speaking, a proper syntactic trigger cannot be confirmed to motivate obligatory verb movement to C. The operation not only gets little support from nominative Case marking, the distribution of expletives, or complementizer agreement but also requires the unconvincing stipulation that expletives as well as sentence-initial subjects result from string-vacuous topicalization. Finally, textual evidence testifies that Old English sometimes permits non-V2 ordering patterns, many of which remain unexplained under the asymmetric CP-V2 analysis.

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A Study of the Safety Facilities Operation Strategies for Performing Arts Workers Evacuation (공연종사자 피난을 위한 안전시설의 운영전략 연구)

  • Sung-Hak Chung;Yong-Gyu Park
    • Journal of the Korea Safety Management & Science
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    • v.26 no.1
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    • pp.63-74
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    • 2024
  • The objectives of this study is to classify evacuation types, derive the characteristics of 4 types, develop and discover evacuation routes within the performance hall space, and present the statistical classification results of the evacuation classification model by classification type. To achieve this purpose, the characteristics of each evacuation type's four types are applied through a network reliability analysis method and utilized for institutional improvement and policy. This study applies for the building law, evacuation and relief safety standards when establishing a performance hall safety management plan, and reflects it in safety-related laws, safety standards, and policy systems. Statistical data by evacuation type were analyzed, and measurement characteristics were compared and analyzed by evacuation types. Evaluate the morphological similarity and reliability of evacuation types according to door width and passage length and propose the install position of evacuation guidance sign boards. The results of this study are expected to be used as basic data to provide operation strategies for safety facility evacuation information sign boards according to evacuation route classification types when taking a safety management plan. The operation strategy for the evacuation sign boards installation that integrates employee guidance and safety training is applied to the performance hall safety management plan. It will contribute to establishing an operational strategy for performance space safety when constructing performance facilities in the future.

A Study on the Improvement of Color Detection Performance of Unmanned Salt Collection Vehicles Using an Image Processing Algorithm (이미지 처리 알고리즘을 이용한 무인 천일염 포집장치의 색상 검출 성능 향상에 관한 연구)

  • Kim, Seon-Deok;Ahn, Byong-Won;Park, Kyung-Min
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.6
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    • pp.1054-1062
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    • 2022
  • The population of Korea's solar salt-producing regions is rapidly aging, resulting in a decrease in the number of productive workers. In solar salt production, salt collection is the most labor-intensive operation because existing salt collection vehicles require human operators. Therefore, we intend to develop an unmanned solar salt collection vehicle to reduce manpower requirements. The unmanned solar salt collection vehicle is designed to identify the salt collection status and location in the salt plate via color detection, the color detection performance is a crucial consideration. Therefore, an image processing algorithm was developed to improve color detection performance. The algorithm generates an around-view image by using resizing, rotation, and perspective transformation of the input image, set the RoI to transform only the corresponding area to the HSV color model, and detects the color area through an AND operation. The detected color area was expanded and noise removed using morphological operations, and the area of the detection region was calculated using contour and image moment. The calculated area is compared with the set area to determine the location case of the collection vehicle within the salt plate. The performance was evaluated by comparing the calculated area of the final detected color to which the algorithm was applied and the area of the detected color in each step of the algorithm. It was confirmed that the color detection performance is improved by at least 25-99% for salt detection, at least 44-68% for red color, and an average of 7% for blue and an average of 15% for green. The proposed approach is well-suited to the operation of unmanned solar salt collection vehicles.

Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

  • Lee, Jae-Hyun;Kim, Sung-Shin;Kim, Jung-Min
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.5
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    • pp.645-661
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    • 2012
  • Recently, pirates are infesting on the sea and they have been hijacking the several vessels for example Samho Dream and Samho Jewelry of Korea. One of the items to reduce the risk is to adopt the invader detection system. If the pirates break in to the ship, the detection system can monitor the pirates and then call the security alarm. The crew can gain time to hide to the safe room and the report can be automatically sent to the control room to cope with the situation. For the invader detection, an unmanned observation system was proposed using the image detection algorithm that extracts the invader image from the recording image. To detect the motion area, the difference value was calculated between the current image and the prior image of the invader, and the 'AND' operator was used in calculated image and edge line. The image noise was reduced based on the morphology operation and then the image was transformed into morphological information. Finally, a neural network model was applied to recognize the invader. In the experimental results, it was confirmed that the proposed approach can improve the performance of the recognition in the invader monitoring system.