• 한국정보과학회논문지:데이타베이스
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• 제32권5호
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• pp.498-508
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• 2005

모양 데이타는 이미지가 나타내는 의미를 가장 잘 반영하는 데이타로서 이미지 검색에 중요한 정보로 사용된다 특히 구조적으로 표현된 모양 특징은 모양이 갖는 기초적 특성과 그들간의 관계 정보를 잘 나타내므로 폭넓게 연구되고 있다. 그러나 대개의 구조적 모양 특징들은 그래프나 트리와 같은 구조로 표현되므로 모양 데이타 검색에서 효율적인 검색 시간을 보장할 수 없는 문제를 지니고 있다. 이러한 문제를 해결하기 위하여 본 논문에서는 모양의 윤곽선 정보를 기반으로한 굴곡 기반 형태 그래프를 생성하고 이를 일반화한 구조로부터 모양을 클러스터링할 수 있는 키를 설계한다. 제안한 굴곡 기반 형태 그래프는 모양이 가지고 있는 윤곽선 특성과 영역의 형태적 특성을 모두 가지고 있다. 모양 검색은 단계적으로 이루어진다. 클러스터링을 통해 검색 공간을 축소하고 외부 굴곡 특징을 이용한 굴곡의 패턴 매칭을 통해 종합적인 유사도가 결정된다. 다양한 실험을 통해 굴곡 기반 형태 그래프와 클러스터링을 통해 검색 공간과 비용이 줄어드는 것을 보여준다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.735-739
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• 2005

This paper presents a new system to estimate the head pose of human in interactive indoor environment that has dynamic illumination change and large working space. The main idea of this system is to suggest a new morphological feature for estimating head angle from stereo disparity map. When a disparity map is obtained from stereo camera, the matching confidence value can be derived by measurements of correlation of the stereo images. Applying a threshold to the confidence value, we also obtain the specific morphology of the disparity map. Therefore, we can obtain the morphological shape of disparity map. Through the analysis of this morphological property, the head pose can be estimated. It is simple and fast algorithm in comparison with other algorithm which apply facial template, 2D, 3D models and optical flow method. Our system can automatically segment and estimate head pose in a wide range of head motion without manual initialization like other optical flow system. As the result of experiments, we obtained the reliable head orientation data under the real-time performance.

• 한국컴퓨터정보학회논문지
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• 제9권4호
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• pp.85-91
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• 2004

최근 들어 인간의 의지를 컴퓨터에 전달하기 위한 수단으로 컴퓨터 시각기반 방식으로 제스처를 인식하고자 하는 연구가 널리 진행되고 있다. 제스처 인식에서 가장 중요한 이슈는 알고리즘의 단순화와 처리 시간의 감소이다. 이러한 문제를 해결하기 위하여 본 연구에서는 기하학적 집합론에 근거하고 있는 수학적 형태론을 적용하였다. 본 논문에서 제안한 알고리즘의 키 아이디어는 형태론적 형상분해를 적용하여 얻은 원시형상 요소들의 중심점을 연결하는 궤적을 추적하는 것이다. 핸드 제스처 시퀀스의 중심점 궤적은 핸드 제스처의 형상에 관련된 중요한 정보를 내포하고 있다. 이러한 특징에 근거하여 본 연구에서는 원시형상 요소들의 중심점 궤적과 직접적으로 관련되는 체인코드 에지벡터로부터 형상의 특징벡터를 계산하여 핸드 제스처 시퀀스를 인식할 수 있는 알고리즘을 제안하고, 실험을 통하여 그 유용성을 증명하였다.

• 한국멀티미디어학회논문지
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• 제17권10호
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• pp.1171-1181
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• 2014

In this paper, we propose improved methods which are image conversion and extraction method of watershed seed using morphological characteristic of teeth on complement image. Conventional tooth segmentation methods are occurred low detection ratio at molar region and over, overlap segmentation owing to specular reflection and morphological feature of molars. Therefore, in order to solve the problems of the conventional methods, we propose the image conversion method and improved extraction method of watershed seed. First, the image conversion method is performed using RGB, HSI space of tooth image for to extract boundary and seed of watershed efficiently. Second, watershed seed is reconstructed using morphological characteristic of teeth. Last, individual tooth segmentation is performed using proposed seed of watershed by watershed algorithm. Therefore, as a result of comparison with marker controlled watershed algorithm and the proposed method, we confirmed higher detection ratio and accuracy than marker controlled watershed algorithm.

• 대한의용생체공학회:의공학회지
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• 제18권3호
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• pp.233-241
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• 1997

The research on chromosomes is very significant in cytogenetics since genes of the chromosomes control revelation of the inheritance plasma. The human chromosome analysis is widely used to study leukemia, malignancy, radiation hazard, and mutagen dosimetry as well as various congenital anomalies such as Down's, Klinefelter's, Edward's, and Patau's syndrome. The framing and analysis of the chromosome karyogram, which requires specific cytogenetic knowledge is most important in this field. Many researches on automated chromosome karyotype analysis methods have been carried out, some of which produced commercial systems. However, there still remains much room to improve the accuracy of chromosome classification and to reduce the processing time in real clinic environments. In this paper, we proposed a hierarchical artificial neural network(HANN) to classify the chromosome karyotype. We extracted three or four chromosome morphological feature parameters such as centromeric index, relative length ratio, relative area ratio, and chromosome length by preprocessing from ten human chromosome images. The feature parameters of five human chromosome images were used to learn HANN and the rest of them were used to classify the chromosome images. The experiment results show that the chromosome classification error is reduced much more than that of the other researchers using less feature parameters.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4395-4412
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• 2020

The multisource image fusion has become an active topic in the last few years owing to its higher segmentation rate. To enhance the accuracy of multimodal pig-body feature segmentation, a multisource image fusion method was employed. Nevertheless, the conventional multisource image fusion methods can not extract superior contrast and abundant details of fused image. To superior segment shape feature and detect temperature feature, a new multisource image fusion method was presented and entitled as NSST-GF-IPCNN. Firstly, the multisource images were resolved into a range of multiscale and multidirectional subbands by Nonsubsampled Shearlet Transform (NSST). Then, to superior describe fine-scale texture and edge information, even-symmetrical Gabor filter and Improved Pulse Coupled Neural Network (IPCNN) were used to fuse low and high-frequency subbands, respectively. Next, the fused coefficients were reconstructed into a fusion image using inverse NSST. Finally, the shape feature was extracted using automatic threshold algorithm and optimized using morphological operation. Nevertheless, the highest temperature of pig-body was gained in view of segmentation results. Experiments revealed that the presented fusion algorithm was able to realize 2.102-4.066% higher average accuracy rate than the traditional algorithms and also enhanced efficiency.

• 한국패류학회지
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• 제23권2호
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• pp.155-164
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• 2007

A new species, Arca koumaci Lutaenko et Maestrati n. sp. (Bivalvia: Arcidae), is described from New Caledonia. The species is characterized by the small size, the convex shell with a strong posterior umbonal ridge covered by spikes, the widely curved ventral margin, and presence of cancellate sculpture and convergent marginal teeth. Presence of spikes on the posterior ridge is a unique morphological feature recorded for the first time in the genus. It is proposed that the only subgenus, namely Pliocene A. (Arcoptera) Heilprin, 1887, apart from nominative, can be recognized in the genus. Three morphological types are distinguished within the genus based on shell shape and sculpture. Bathymetric analysis shows that representatives of Arca inhabit water depths down to 175 m, and more than half of Recent species were found below 50 m. Types of A. bouvieri P. Fischer, 1874, Arca boucardi Jousseaume, 1894, Arca avellana Lamarck, 1819, and Arca retusa Lamarck, 1819 are illustrated.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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• pp.37-40
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• 2001

The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the real-time processing. A key idea of the algorithm proposed in this paper is to apply morphological shape decomposition. The primitive elements extracted from a hand gesture have very important information including the directivity of the hand gestures. Based on this algorithm, we proposed the morphological hand-gesture recognition algorithm using feature vectors extracted from lines connecting the center points of a main-primitive element and sub-primitive elements. Through the experiments, we applied to the video contents browsing system with natural interactions and demonstrated the efficiency of this algorithm.

• Journal of Computational Design and Engineering
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• 제3권3호
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• pp.191-197
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• 2016

Since 3D measurement technologies have been widely used in manufacturing industries edge detection in a depth image plays an important role in computer vision applications. In this paper, we have proposed an edge detection process in a depth image based on the image based smoothing and morphological operations. In this method we have used the principle of Median filtering, which has a renowned feature for edge preservation properties. The edge detection was done based on Canny Edge detection principle and was improvised with morphological operations, which are represented as combinations of erosion and dilation. Later, we compared our results with some existing methods and exhibited that this method produced better results. However, this method works in multiframe applications with effective framerates. Thus this technique will aid to detect edges robustly from depth images and contribute to promote applications in depth images such as object detection, object segmentation, etc.

• 한국농촌건축학회논문집
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• 제14권4호
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• pp.135-142
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• 2012

This study is aimed to investigate the dimension feature of the plane about the economic type farming village Korean-style house progressed in the Chonnam province and Longitudinal feature and tries to reveal this feature through the comparing analysis with the traditional house positioned in the Chonnam province. This result is as follows. First, the main feature in plane is the setting up the column interval in front when comparing the house of Happy Village and traditional house. In case house of the Happy Village, after firstly fixed the limited scales, sizes are determined, this is due to control the set up in the post interval in this in range. Second, in the case of the traditional houses, 0.68 ratio of the building height about the side length and 0.19 ratio of the eaves extrusion about the side length are consistent ratio about dimensions. However, there is no consistent ratio or fixed law, the various dimensions show up in case of the house of Happy Village. It will be inevitable that space of the post increases for the convenience of life of the modern people. However, it has to sublate and to disregard as the identity of the morphological shown up in the Korean-style house the more various construction standards will need to be presented.