• 전자공학회논문지B
• /
• 제33B권4호
• /
• pp.111-123
• /
• 1996

In this paper, a new edge-based segmentation algorithm for range image using pseudo reflectance images (PRIs) is proposed. A model of pseudo reflectance which is useful in analyzing three dimensional scene and objects is introduced and then three PRIs are generated by the model. For generating three PRIs, bels and jain's differential window operator is selected and three different light source directions are determined. Three edge images are extracted from each PRI and a fused (logical ORing) edge image is constructed for the benefit of enhanced edge formation. The final segmentation results of the proposed algoritm are obtained after the processing of thinning, labeling and correcting erroeneous regions with the fused edge image. The good performance of edge detection and segmentation is confirmed via computer simulation with synthetic and real range images.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
• /
• pp.283-286
• /
• 2001

In this paper, we present a robust region segmentation method based on the watershed transformation of a pseudo-distance map (PDM). A usual approach for the segmentation of a gray-scale image with the watershed algorithm is to apply it to a gradient magnitude image or the Euclidean distance map (EDM) of an edge image. However, it is well known that this approach suffers from the oversegmentation of the given image due to noisy gradients or spurious edges caused by a thresholding operation. In this paper we show thor applying the watershed algorithm to the EDM, which is a regularized version of the EDM and is directly computed form the edgestrength function (ESF) of the input image, significantly reduces the oversegmentation, and the final segmentation results obtained by a simple region-merging process are more reliable and less noisy than those of the gradient-or EDM-based methods. We also propose a simple and efficient region-merging criterion considering both boundary strengths and inner intensities of regions to be merged. The robustness of our method is proven by testing it with a variety of synthetic and real images.

• 대한전자공학회논문지
• /
• 제27권9호
• /
• pp.1442-1447
• /
• 1990

In this paper we propose the search algorithm of the boundary nodes that defined as the circuit segmentation when CUT is tested by pseudo-exhaustive testing. The algorithm treats the testability values of the nodes in CUT as the population composed of teh raw data, and after examines the level of significance a and then estimate the confidence interval of teh testability values. Thus One can easily searched the c9oundary nodes and PO of sub circuits. The proposed algorithm has been implemented under UNIX OS with C-language, applied to the combinational logic CUT. As a result, it is shown that the pseudo-exhaustive test patterns are least generated when \ulcornerhas 0.786. We confirmed that the rate of test pattern is 1.22%, compared with exhaustive test.

• Asian Pacific Journal of Cancer Prevention
• /
• 제16권18호
• /
• pp.8351-8358
• /
• 2016

Electronic cleansing is an image post processing technique in which the tagged colonic content is subtracted from colon using CTC images. There are post processing artefacts, like: 1) soft tissue degradation; 2) incomplete cleansing; 3) misclassification of polyp due to pseudo enhanced voxels; and 4) pseudo soft tissue structures. The objective of the study was to subtract the tagged colonic content without losing the soft tissue structures. This paper proposes a novel adaptive method to solve the first three problems using a multi-step algorithm. It uses a new edge model-based method which involves colon segmentation, priori information of Hounsfield units (HU) of different colonic contents at specific tube voltages, subtracting the tagging materials, restoring the soft tissue structures based on selective HU, removing boundary between air-contrast, and applying a filter to clean minute particles due to improperly tagged endoluminal fluids which appear as noise. The main finding of the study was submerged soft tissue structures were absolutely preserved and the pseudo enhanced intensities were corrected without any artifact. The method was implemented with multithreading for parallel processing in a high performance computer. The technique was applied on a fecal tagged dataset (30 patients) where the tagging agent was not completely removed from colon. The results were then qualitatively validated by radiologists for any image processing artifacts.

• 대한전자공학회논문지SD
• /
• 제45권4호
• /
• pp.13-20
• /
• 2008

본 논문에서는 무선 통신 응용 시스템에 적합하도록 슈도-세그멘테이션 기법을 이용하여 저 전력 12비트 80MHz D/A 변환기를 CMOS 0.18um n-well 1-Poly/6-Metal 공정으로 설계하였다. 슈도-세그멘테이션 기법은 간단한 병렬 버퍼로 구성된 이진 디코더를 사용함으로써 구조적으로 간단해지며 저 전력으로 구현이 가능하다. 또한, 스위칭 코어 회로에 글리치 억제 회로와 입력신호의 스윙을 감소시키는 구동 회로를 설계함으로써 추가적인 스위칭 잡음을 줄일 수 있었다. 측정 결과 제안한 저 전력 12bit 80MHz CMOS D/A 변환기는 샘플링 주파수 80MHz일 때, 입력 주파수 1MHz에서 SFDR은 66.01dBc, 유효비트수는 10.67비트를 보여주었다. INL/DNL은 ${\pm}1.6LSB/{\pm}1.2LSB$로 측정되었으며, 글리치 에너지는 $49pV{\cdot}s$로 나타났다. 전력 소모는 1.8V 전원 전압에서 최대 속도인 80MHz일 때 46.8mW로 측정되었다.

• 한국멀티미디어학회논문지
• /
• 제23권5호
• /
• pp.633-640
• /
• 2020

Defect region segmentation of TFT-LCD images is performed by combining defect pixels detected by a defect detection method into defect region, or by using morphological operations to segment defect region. Therefore, the result of segmentation of the defect region is highly dependent on the defect detection result. In this paper, we propose a method which segments defect regions sequentially according to the possibility of being included in defect regions in TFT-LCD images. The proposed method repeats the process of detecting a seed using the median value and the median absolute deviation of the image, and segments the defect region using the seeded region growing method. We confirmed the superiority of the proposed method to segment defect regions using pseudo-images and real TFT-LCD images.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.1137-1139
• /
• 2003

This paper proposed a practical method for building detection and extraction using airborne laser scanning data. The proposed method consists mainly of two processes: low and high level processes. The major distinction from the previous approaches is that we introduce a concept of pseudogrid (or binning) into raw laser scanning data to avoid the loss of information and accuracy due to interpolation as well as to define the adjacency of neighboring laser point data and to speed up the processing time. The approach begins with pseudo-grid generation, noise removal, segmentation, grouping for building detection, linearization and simplification of building boundary , and building extraction in 3D vector format. To achieve the efficient processing, each step changes the domain of input data such as point and pseudo-grid accordingly. The experimental results shows that the proposed method is promising.

• 한국음향학회지
• /
• 제20권3호
• /
• pp.70-75
• /
• 2001

본 논문은 우리말 연속음성에 대한 음절단위 분할법을 제안한다. 이 방법은 다음 3단계로 이루어진다: (1) 음성의 시간영역 분할 파라메터인 피치, 에너지, ZCR, PVR을 이용하여 음성데이터를 자음, 자음. 묵음 단위로 라벨링하여 토큰 (Token)을 형성, (2) 형성된 토큰을 유한상태오토마타를 이용하여 한국어 음절구조로 파서 (Parser)를 설계하여 스캐닝 (Scanning), (3) 의사 음절핵 정보를 이용하여 두개 혹은 여러 개의 음절을 가지는 음성부분에 대한 재분할을 통하여 음절단위 분할 완성. 제안된 방법에 대한 성능 평가를 위해서 문장과 단어단위 연속음성에 대한 분할 실험결과 각각 73.7％와 85.9％의 분할률을 얻었다.

• 전자공학회논문지S
• /
• 제34S권6호
• /
• pp.30-37
• /
• 1997

We present an efficient technique, bidirectioanl inertial maximum cost search technique, for th edetection and segmentation of circular shaped objects using the spatial information around the neighborhood of the boundary candidates. This technique searches boundary candidates using local pixdl information such as pixel value and its direction. And then to exclude pseudo-boundary caused by shadows or noises, the local contrast is defined between the clique of the boundary candidates and the cliques of the background. In order to effectively segment circular shaped boundary, the technique also uses the curvature based on trigonometirc function which determines circular shaped boundary segments. Since the proposed technique is applied to the pixel cliques instead of a pixel itself, it is proposed method can easily find out circular boundaries form iamges of the PCB containing circular shaped parts and the trees with round fruits compared to boundary detection by using the pixel information and the laplacian curvature.

• Current Optics and Photonics
• /
• 제6권3호
• /
• pp.288-296
• /
• 2022

We propose and experimentally demonstrate a novel photonic compressive sensing (CS) scheme for acquiring sparse radio frequency signals with adjustable compression ratio in this paper. The sparse signal to be measured and a pseudo-random binary sequence are modulated on consecutively connected chirped pulses. The modulated pulses are compressed into short pulses after propagating through a dispersive element. A programmable optical filter based on spatial light modulator is used to realize spectral segmentation and demultiplexing. After spectral segmentation, the compressed pulses are transformed into several sub-pulses and each of them corresponds to a measurement in CS. The major advantage of the proposed scheme lies in its adjustable compression ratio, which enables the system adaptive to the sparse signals with variable sparsity levels and bandwidths. Experimental demonstration and further simulation results are presented to verify the feasibility and potential of the approach.