• 한국염색가공학회지
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• 제20권1호
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• pp.48-56
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• 2008

A real-time inspection system has been developed by combining CCD based image processing algorithm and a standard lighting equipment. The system was tested for defective fabrics showing nozzle contact scratch marks, which are one of the frequently occurring defects. Two algorithms used were compared according to both their processing time and detection rate. First algorithm (algorithm A) was based on morphological image processing such as dilation and opening for effective treatment of defective printing areas while second one (algorithm B) mainly employs well-defined edge detection technique based on canny detector and Zermike moment. It was concluded' that although both algorithms were quite successful, algorithm B showed relatively consistent performance than algorithm A in detecting complex patterns.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집B
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• pp.670-675
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• 2001

This paper is to propose image segmentation method based on chamfer algorithm. First, we get original image from CCD camera and transform it into gray image. Second, we extract maximum gray value of background and reconstruct and eliminate the background using surface fitting method and bilinear interpolation. Third, we subtract the reconstructed background from gray image to remove noises in gray image. Fourth, we transform the subtracted image into binary image using Otsu's optimal thresholding method. Fifth, we use morphological filters such as areaopen, opening, filling filter etc. to remove noises and isolated points. Sixth, we use chamfer distance or Euclidean distance to this filtered image. Finally, we use watershed algorithm and count microorganisms in image by labeling. To prove the effectiveness, we apply the proposed algorithm to one of Ammonia-oxidizing bacteria, Acinetobacter sp. It is shown that both Euclidean algorithm and chamfer algorithm show over-segmentation. But Chamfer algorithm shows less over-segmentation than Euclidean algorithm.

• 대한의용생체공학회:의공학회지
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• 제24권4호
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• pp.247-257
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• 2003

This paper proposes a three-dimensional (3D) segmentation algorithm for extracting a diagnostic object from ultrasound images by using a LoG operator In the proposed algorithm, 2D cutting planes are first obtained by the equiangular revolution of a cross sectional Plane on a reference axis for a 3D volume data. In each 2D ultrasound image. a region of interest (ROI) box that is included tightly in a diagnostic object of interest is set. Inside the ROI box, a LoG operator, where the value of $\sigma$ is adaptively selected by the distance between reference points and the variance of the 2D image, extracts edges in the 2D image. In Post processing. regions of the edge image are found out by region filling, small regions in the region filled image are removed. and the contour image of the object is obtained by morphological opening finally. a 3D volume of the diagnostic object is rendered from the set of contour images obtained by post-processing. Experimental results for a tumor and gall bladder volume data show that the proposed method yields on average two times reduction in error rate over Krivanek's method when the results obtained manually are used as a reference data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4866-4888
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• 2020

One major and time-consuming task in fish production is obtaining an accurate estimate of the number of fish produced. In most Nigerian farms, fish counting is performed manually. Digital image processing (DIP) is an inexpensive solution, but its accuracy is affected by noise, overlapping fish, and interfering objects. This study developed a catfish recognition and counting algorithm that introduces detection before counting and consists of six steps: image acquisition, pre-processing, segmentation, feature extraction, recognition, and counting. Images were acquired and pre-processed. The segmentation was performed by applying three methods: image binarization using Otsu thresholding, morphological operations using fill hole, dilation, and opening operations, and boundary segmentation using edge detection. The boundary features were extracted using a chain code algorithm and Fourier descriptors (CH-FD), which were used to train an artificial neural network (ANN) to perform the recognition. The new counting approach, based on the geometry of the fish, was applied to determine the number of fish and was found to be suitable for counting fish of any size and handling overlap. The accuracies of the segmentation algorithm, boundary pixel and Fourier descriptors (BD-FD), and the proposed CH-FD method were 90.34%, 96.6%, and 100% respectively. The proposed counting algorithm demonstrated 100% accuracy.

• 대한전자공학회논문지SP
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• 제47권1호
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• pp.9-16
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• 2010

이동 객체 검출은 입력 영상에서 배경과 다른 전경 객체를 찾는 것을 말하는 것으로 지능 영상 감시, HCI, 객체 기반 영상 압축 등의 여러 영상 처리 응용 분야에서 필요한 과정이다. 기존의 이동 객체 검출 알고리즘은 상당한 계산량을 요구하여 다채널 영상 감시 응용, 또는 임베디드 시스템에서의 단일 채널의 실시간 응용에 사용하는 데 애로가 많다. 보다 정확한 이동 객체 검출을 위하여 필요한 과정인 전경 마스크 정정은 보통 열림, 닫힘 등의 모폴로지 연산을 통해 수행된다. 모폴로지 연산은 계산량이 적지 않고 게다가 프로세싱 방법이 달라 이동 객체 검출의 다음 단계인 연결 요소 레이블링 루틴과 동시에 처리되기 어렵다. 본 논문에서는 먼저 모폴로지 연산과는 달리 연결 요소 레이블링 루틴에서 사용되는 주변 픽셀 점검 과정을 활용한 전경 마스크 정정 알고리즘인 "주변 전경 픽셀 전파"을 고안하고, 이를 활용하여 전경 마스크 정정과 연결 요소 레이블링이 동시에 수행될 수 있는 이동 객체 검출 방법을 제안한다. 실험을 통해, 제안된 이동 객체 검출 방법이 기존의 모폴로지 연산을 사용한 방법 보다 정확하게 이동 객체를 검출하였으며, 대상 실험 영상 프레임 및 비디오에 대해서는 최소 4배 이상 신속하게 처리됨을 확인하였다.

• Parasites, Hosts and Diseases
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• 제55권3호
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• pp.319-325
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• 2017

We described 4 human infection cases of zoonotic fish-tapeworm, Diphyllobothrium nihonkaiense, identified with morphological and molecular characters and briefly reviewed Chinese cases in consideration of it as an emerging parasitic disease in China. The scolex and mature and gravid proglottids of some cases were seen, a rosette-shaped uterus was observed in the middle of the mature and gravid proglottids, and the diphyllobothriid eggs were yellowish-brown in color and displayed a small knob or abopercular protuberance on the opposite end of a lid-like opening. The average size of the eggs was recorded as $62-67{\times}42-45{\mu}m$. The parasitic materials gathered from 4 human cases were morphologically identified as belonging to the genera Diphyllobothrium and Adenocephalus. The phylogenetic analysis based on the nucleotide sequences of cytochrome c oxidase subunit 1 gene of the etiologic agents confirmed that the 4 cases were D. nihonkaiense infection. The finding of 4 additional D. nihonkaiense cases suggests that D. nihonkaiense might be a major causative species of human diphyllobothriasis in China. A combined morphological and molecular analysis is the main method to confirm D. nihonkaiense infection.

• 한국어류학회지
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• 제28권1호
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• pp.9-18
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• 2016

이 연구는 능성어 (Epinephelus septemfasciatus)의 소화관 발달과정을 형태학적과 조직학적인 방법으로 부화 후부터 60일 동안 관찰하였다. 먹이 급이는 부화 후 2일부터 20일 동안 Rotifer (Brachionus rotundiformis)와 클로렐라 (Chlorella ellipsoidea)를 급이 하였고, 20일부터 Rotifer와 brine shrimp (Artemia salina)를 급이 하였으며, 23일부터 Rotifer와 Artemia, 배합사료를 급이 하였다. 자치어 10마리를 임의로 선택하여 10% 중성포르말린에 고정한 후 형태학적 관찰과 파라핀포매법에 의한 조직학적인 관찰을 하였다. 능성어의 RLG는 평균 0.87으로 육식성어류의 특성을 보여주었다. 부화 직후의 자어는 입과 항문은 열려있지 않았고, 소화관은 난황을 따라 일직선상으로 관찰되었다. 부화 후 5일째 후기 자어는 입과 항문이 열리면서 첫 섭식 활동이 관찰되었고, 부화 후 8일째 변태가 시작되었다. 부화 후 11일째 후기 자어 식도는 네 개의 층이 구분 되었으며, 식도와 중장, 직장에서는 배상세포가 관찰되었다. 부화 후 19일째 후기 자어는 공식이 시작되었으며, 그로인해 개체의 성장차이가 관찰되었다. 위는 내부가 팽창되면서 분문위, 위체부 및 유문위의 구분이 가능해졌고, 유문수가 분화되었으며, 장 전체에서는 배상세포를 관찰할 수 있었다. 부화 후 28일째 위내부에 위선이 분화되었다. 부화 후 38일째 후기 자어는 위에서 위액이 분비되는 것을 확인할 수 있었고, 유문수에 점막주름이 확인되었다. 부화 후 38일째에서 치어기로 이행하는 시기 동안 위 내강은 넓어지고, 위선의 숫자와 장내점액세포, 점막주름은 지속적으로 증가하거나 길어졌으나 조직화학적인 변화는 관찰되지 않았다. 따라서 본 연구는 형태학적 및 조직학적 방법을 이용하여 능성어의 소화관 분화 및 발달에 관한 정보를 얻고자 하였으며, 초기 종묘생산과정에서 적절한 먹이투여시기를 확립함으로써 성장 및 생존율 향상에 기초자료를 제공하고자 하였다.

• Restorative Dentistry and Endodontics
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• 제22권1호
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• pp.479-489
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• 1997

The purpose of this study was to evaluate the effect of the Nd : YAG laser on the tooth hypersensitivity by the observation of the morphological changes of the dentinal surface irradiated with Nd : YAG laser by use of SEM. In 40 mandibular and maxillary molars without any carious lesion or restoration, severe attrition and abrasion, Enamel was removed with fine grit diamond bur and exposed dentinal surfaces were polished with Soflex discs. In control group (10 teeth), exposed dentinal surfaces were acid-etched with 10 % Maleic acid for 15 seconds. In the experimental group 1 (10 teeth), acid-etched dentinal surfaces with 10% Maleic acid were prepared by Nd : YAG laser (6 watts power, 1 psi water, 18 psi air) for 2 minutes. In the experimental group 2 (10 teeth), exposed dentinal surfaces were irradiated with Nd: YAG laser (10 watts power, 3 psi water, 10 psi air) until the painted black stains on the dentinal surfaces were completely removed. In the experimental group 3 (10 teeth). dentinal surfaces were prepared with Nd : YAG laser (6 watts power, 1 psi water, 18 psi air) until the painted black stanins on them were completely removed and then the irradiated dentinal surfaces were acid-etched with 10 % Maleic acid for 15 seconds. The specimens were routinely processed and observed with scanning electron microscope. The results were as follows : 1. In the irradiated dentinal surfaces, the characteristics of the melting and recrystalization on the dentinal surfaces were observed. Compared with the results in the control group, we could observe that in the irradiated dentinal surfaces, the aperture of the dentinal tubules were reduced and there were more debris obstructing the dentinal tubules. 2. In the irradiated dentinal surfaces, crater structures were commonly present and in the crater bottoms, there were a lot of bead like melted dentin structures, which had the ruptured opening in the center of them. 3. The melted dentins and cracks in the smear layer were less frequently observed in the irradiated dentinal surfaces using copious cooling water than in the irradiated dentinal surfaces using scare cooling water.

• 한국염색가공학회지
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• 제28권2호
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• pp.70-76
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• 2016

Silver nanoparticles(AgNPs) were attached to wool fibers using glycidyltrimethylammonium chloride(GTAC), which is a type of quaternary ammonium salt. GTAC, which contains an epoxy functional group that, under high temperatures, generates a ring-opening reaction with wool fibers, which contain the amine group. Then, the AgNPs are attached to the surface of the GTAC-treated wool fibers by treatment with a silver colloidal solution. The process involves the following procedures: (1) The wool fibers are immersed in the GTAC solution, followed by pre-drying at $80^{\circ}C$ and curing at $180^{\circ}C$ to induce an alteration in the chemical structure; and (2) The wool fibers treated with GTAC are immersed in the silver colloid at $40^{\circ}C$ for 120 min to chemically induce a strong attachment of the AgNPs to the wool fibers. Scanning electron microscopy was used to analyze the influence of the concentrations of GTAC and the silver colloid, as well as the influence of the applied temperature of the silver colloid on the wool fibers, and the influence of the morphological changes in the wool fiber surfaces. As a result, the enhanced concentrations of GTAC and the silver colloid together with an elevated applied temperature of silver colloid have a tendency to increase in Ag atomic%.

• Transactions on Control, Automation and Systems Engineering
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• 제4권3호
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• pp.224-230
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• 2002

In this paper, a counting algorithm hybridized with an adaptive automatic thresholding method based on Otsu's method and the algorithm that elongates markers obtained by the well-known watershed algorithm is proposed to enhance the exactness of the microcell counting in microscopic images. The proposed counting algorithm can be stated as follows. The transformed full image captured by CCD camera set up at microscope is divided into cropped images of m$\times$n blocks with an appropriate size. The thresholding value of the cropped image is obtained by Otsu's method and the image is transformed into binary image. The microbial cell images below prespecified pixels are regarded as noise and are removed in tile binary image. The smoothing procedure is done by the area opening and the morphological filter. Watershed algorithm and the elongating marker algorithm are applied. By repeating the above stated procedure for m$\times$n blocks, the m$\times$n segmented images are obtained. A superposed image with the size of 640$\times$480 pixels as same as original image is obtained from the m$\times$n segmented block images. By labeling the superposed image, the counting result on the image of microbial cells is achieved. To prove the effectiveness of the proposed mettled in counting the microbial cell on the image, we used Acinetobacter sp., a kind of ammonia-oxidizing bacteria, and compared the proposed method with the global Otsu's method the traditional watershed algorithm based on global thresholding value and human visual method. The result counted by the proposed method shows more approximated result to the human visual counting method than the result counted by any other method.