• Title/Summary/Keyword: Morphology Operation

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Removing Baseline Drift in ECG Signal using Morphology-pair Operation and median value (Morphology-pair 연산과 중간 값을 이용한 심전도 신호의 기저선 변동 잡음 제거)

  • Park, Kil-Houm;Kim, Jeong-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.8
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    • pp.107-117
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    • 2014
  • This paper proposed the method of removing baseline drift by eliminating local maxima such as P, R, T-wave signal region and local minima Q, S-wave signal region. We applied morphology-pair operations improved from morphology operation to the ECG signal. To eliminate overshoot in the result of morphology-pair operation, we apply median value operation to the result of morphology-pair operation. We use MIT/BIH database to estimate the proposed algorithm. Experiment result show that proposed algorithm removing baseline drift effectively without orignal ECG signal distortion.

Time Complexity Measurement on CUDA-based GPU Parallel Architecture of Morphology Operation

  • Izmantoko, Yonny S.;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.16 no.4
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    • pp.444-452
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    • 2013
  • Operation time of a function or procedure is a thing that always needs to be optimized. Parallelizing the operation is the general method to reduce the operation time of the function. One of the most powerful parallelizing methods is using GPU. In image processing field, one of the most commonly used operations is morphology operation. Three types of morphology operations kernel, na$\ddot{i}$ve, global and shared, are presented in this paper. All kernels are made using CUDA and work parallel on GPU. Four morphology operations (erosion, dilation, opening, and closing) using square structuring element are tested on MRI images with different size to measure the speedup of the GPU implementation over CPU implementation. The results show that the speedup of dilation is similar for all kernels. However, on erosion, opening, and closing, shared kernel works faster than other kernels.

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.

A Study on Hybrid Median Filter Using Gray Scale Morphology (Gray Scale Morphology를 이용한 하이브리드 메디안 필터에 관한 연구)

  • 문성용;김종교
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.11
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    • pp.1264-1270
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    • 1992
  • MF(Morphological filter) is generally composed of several morphological operation, which are the diverse structuring element. The two basic operation are erosion and dilation. The two other operation, opening and closing, are defined based on these two operation. Performance of open-closing(OC) is better exellent than close-opening(CO) to reduce noise of image data with Gaussian noise. In this paper, to use the hybrid median filter in processing the image, is shown that hybrid median filter has better results image quality than other filters, to analyze by computer simulation.

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Image Segmentation Using Anisotropic Diffusion and Morphology Operation (이방성 확산과 형태학적 연산을 이용한 영상 분할)

  • Kim, Hye Suk;Cho, Jeong Rae;Lim, Suk Ja
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.2
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    • pp.157-165
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    • 2009
  • Existing methods for image segmentation using diffusion can't preserve contour information, or noises with high gradients become more salient as the umber of times of the diffusion increases, resulting in over-segmentation when applied to watershed. This thesis proposes a method for image segmentation by applying morphology operation together with robust anisotropic diffusion. For an input image, transformed into LUV color space, closing by reconstruction and anisotropic diffusion are applied to obtain a simplified image which preserves contour information with noises removed. With gradients computed from this simplifed images, watershed algorithm is applied. Experiments show that color images are segmented very effectively without over-segmentation.

Multi-scale crack detection using decomposition and composition (해체와 구성을 이용한 다중 스케일 균열 검출)

  • Kim, Young Ro;Chung, Ji Yung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.3
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    • pp.13-20
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    • 2013
  • In this paper, we propose a multi-scale crack detection method. This method uses decomposition, composition, and shape properties. It is based on morphology algorithm, crack features. We use a morphology operator which extracts patterns of crack. It segments cracks and background using opening and closing operations. Morphology based segmentation is better than existing integration methods using subtraction in detecting a crack it has small width. However, morphology methods using only one structure element could detect only fixed width crack. Thus, we use decomposition and composition methods. We use a decimation method for decomposition. After decomposition and morphology operation, we get edge images given by binary values. Our method calculates values of properties such as the number of pixels and the maximum length of the segmented region. We decide whether the segmented region belongs to cracks according to those data. Experimental results show that our proposed multi-scale crack detection method has better results than those of existing detection methods.

Small Target Detection using Morphology and Gaussian Distance Function in Infrared Images (적외선 영상에서 모폴로지와 가우시안 거리함수를 이용한 소형표적 검출)

  • Park, Jun-Jae;Ahn, Sang-Ho;Kim, Jong-Ho;Kim, Sang-Kyoon
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.4
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    • pp.61-70
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    • 2012
  • We propose a method that finds candidate targets based on morphology and detects a small target from them using modified gaussian distance function. The existing small target detection methods use predictive filters or morphology. The methods using predictive filters take long to approach least errors. The methods using morphology are weak at clutters and need to consider size of a small target when selecting size of structure elements. We propose a robust method for small target detection to complete the existing methods. First, the proposed method deletes clutters using a median filter. Next, it does closing and opening operation using various size of structure elements, and figures target candidate pixels with subtraction operation between the results of closing and opening operation. It detects an exact small target using a gaussian distance function from the candidates target areas. The proposed method is less sensitive to clutters, and shows a detection rate of 98%.

A Study on Extraction of Character String in Document Image Using Morphology (Morphology를 이용한 문서화상내의 문자열 추출에 관한 연구)

  • 장희돈;김동현;김석태;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.1
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    • pp.123-132
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    • 1993
  • This paper presents the segmentation of sentence area and diagram area from docwnent image. For extracting the sentence area, we perform the Dilation, basic operation of Morphology, to the document image and obtain the smeared document image. After the smeared docwnent image is blocked, we determine the writing form by the vertical and horizontal characteristics of the document image and calculate the skew from it. And then, we relocate the document image and extract the chatacter string from the relocated docwnent. 11 document images of three classes are considered and the character string has been well extracting from 11 document images.

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A study on DTCNN hardware implementation for image processing (영상처리를 위한 DTCNN 하드웨어 구현에 관한 연구)

  • 문성용
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.4
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    • pp.96-104
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    • 1998
  • In this paper, the circuit of DTCNN designed using dilation and erosion operation, a basic operation of gray-scale morphology, also each cell designed PE in order to having extension using the local connectivity. In this PE design, connection of between cell and cell become simple. And it is realized to easily VLSI realization as well as to circuit to be parallel processing. As the resutls of simulations, the proposed method was verified to improved more operation speed than the sequential data processing, parallel processing DTCNN was implemented in a 0.8.mu.m CMOS technology using COMPASS Tool.

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Effect of Suspension Property on Granule Characteristics and Compaction Behavior of Fine Si3Na4 Powder (분산계 특성이 질화규소 미분의 과립특성 및 충진거동에 미치는 영향)

  • 이해원;오성록
    • Journal of the Korean Ceramic Society
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    • v.32 no.4
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    • pp.462-470
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    • 1995
  • The characteristics of spray-dried granules are important for dry pressing operation since they have great influences on die-filling, compaction ratio, and resulting green microstructure. An attempt was made to control granule morphology and the packing structure of fine Si3N4 particles in granules by adjusting suspension property. Mercury porosimetry was used to characterize the pore structures of both granules and green compacts. Finally, the effects of particle packing structure in granules and green microstructure on sintering behavior were investigated.

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