• 정보처리학회논문지B
• /
• 제14B권3호
• /
• pp.145-152
• /
• 2007

본 논문에서는 LCD 모니터, LCD TV, PDP TY, OLED TV 등과 같은 평판 디스플레이 장비를 위한 적응형 칼라 영상 향상 알고리즘에 대해서 제안한다. 제안한 알고리즘은 칼라 영상에서 콘트라스트와 채도를 함께 향상 시키는 방법이다. 콘트라스트 향상을 위해서 사용하는 적응형 선형 추정 CDF(Cumulative Density Function) 기법은 콘트라스트 향상 시 밝기에 따른 조정이 가능하여 원 영상의 왜곡을 막아준다. 적응형 채도 향상 알고리즘은 채도 향상의 문제점인 Contour Artifact와 Over-Saturation이 발생하지 않는 범위내에서 제도를 향상시킨다. 또한 원 영상의 색상 분포에 따른 선택적 채도 향상 방법을 사용하여 고품질의 영상을 얻을 수 있다. 제안된 알고리즘에 의한 처리 결과와 원 영상의 화질 평가를 위해서 시각적 검증과 히스토그램 편차를 도입하였다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2005년도 추계종합학술대회
• /
• pp.979-982
• /
• 2005

This paper is to be pre-processing that decides the text recognizability and quality contained in natural image. Differentiated with the existing studies, In this paper, it suggests the application of partially unified color models, Coiflet Wavelet and text extraction algorithm that uses the closed curve edge features of LoG (laplacian of gaussian)operator. The text image included in natural image such as signboard has the same hue, saturation and value, and there is a certain thickness as for their feature. Each color element is restructured into closed area by LoG operator, the 2nd differential operator. The text area is contracted by Hough Transform, logical AND-OR operator of each color model and Minimum-Distance classifier. This paper targets natural image into which text area is added regardless of the size and resolution of the image, and it is confirmed to have more excellent performance than other algorithms with many restrictions.

• 센서학회지
• /
• 제20권3호
• /
• pp.178-186
• /
• 2011

Line tracking is a well defined method of mobile robot navigation. It is simple in concept, technically easy to implement, and already employed in many industrial sites. Among several different line tracking methods, magnetic sensing is widely used in practice. In comparison, vision-based tracking is less popular due mainly to its sensitivity to surrounding conditions such as brightness and floor characteristics although vision is the most powerful robotic sensing capability. In this paper, a vision-based robust path line detection technique is proposed for the navigation of a mobile robot assuming uncontrollable surrounding conditions. The technique proposed has four processing steps; color space transformation, pixel-level line sensing, block-level line sensing, and robot navigation control. This technique effectively uses hue and saturation color values in the line sensing so to be insensitive to the brightness variation. Line finding in block-level makes not only the technique immune from the error of line pixel detection but also the robot control easy. The proposed technique was tested with a real mobile robot and proved its effectiveness.

• 터널과지하공간
• /
• 제30권4호
• /
• pp.417-431
• /
• 2020

이 연구에서는 라이다(LiDAR) 반사강도를 이용하여 암반 풍화도 및 변질도를 산정하는 작업의 기초연구를 진행하였다. 실내 시험을 통하여 라이다 반사강도에 직접적으로 영향을 미치는 인자와 그 영향 정도를 정량적으로 고찰하고자 하였다. 영향 인자로는 주사거리, 입사각, 표면거칠기, 표면색상, 암석물성, 광물조성, 포화도를 선정하였다. 실험에서는 FARO 라이다 장비와 12가지 종류의 시험편을 사용하였다. 실험 결과 반사강도는 표면색상, 입사각, 주사거리, 암석물성, 포화도 혹은 표면습윤상태, 표면거칠기 순으로 영향을 크게 미치는 것으로 나타났다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.192-194
• /
• 2003

Since the details in quasi-homogeneous region will be destroyed from the conventional global image enhancement method such as histogram equalization. This defect is caused by the saturation of gray level in equalization process. So the local histogram equalization for each quasi-homogeneous region will be used in order to improve the details in the region itself. To obtain the quasi- homogeneous regions, the original image must be segmented. Here we applied the watershed transform to the interesting image. Since the watershed transform is based on mathematical morphology, therefore, the regions touch can be effectively separated. Hence two adjacent regions which have the similar gray pixels will be split off. The process will be independently applied to three different spectral images. Then three different colors are assigned to each processed image in order to produce a color composite image. By the proposed algorithm, the result image shows the better perception on image details. Therefore, the high efficiency of image classification can be obtained by using this color image.

• 한국표면공학회지
• /
• 제54권5호
• /
• pp.278-284
• /
• 2021

Corrosion of steel plate is common phenomenon which results in the gradual destruction caused by a wide variety of environments. Corrosion monitoring is the tracking of the degradation progress for a long period of time. Corrosion on steel plate appears as a discoloration and any irregularities on the surface. In this study, we developed a quantitative evaluation method of the rust formed on steel plate by using k-means clustering from the corroded area in a given image. The k-means clustering for automated corrosion detection was based on the GrabCut segmentation and Gaussian mixture model(GMM). Image color of the corroded surface at cut-edge area was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space.

• 한국표면공학회지
• /
• 제52권1호
• /
• pp.30-36
• /
• 2019

In this study, we investigated the effects of anodizing time, dyeing treatment time, and variations in coloring concentration on the color of an AA5052 alloy processed by dye-treated anodizing. The outward color of the anodized film changed to deep red according to increases in anodizing time, dyeing treatment time, and coloring concentration; accordingly, lightness $L^*$ decreased and saturation $a^*$ and $b^*$ increased. The concentration of the dye and the UV-visible absorbance showed a nearly perfect linear relationship, allowing a quantitative analysis of the absorbed dye. Because the quantity of absorbed dye increased as anodizing time, dyeing treatment time, and coloring concentration increased, the outward color of the anodized film deepened. In addition, from the GD-OES depth profile, we found that the dye was preferentially absorbed on the surface of the porous anodized film.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권2호
• /
• pp.945-961
• /
• 2019

Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

• 한국표면공학회지
• /
• 제55권3호
• /
• pp.164-172
• /
• 2022

Hot-dip galvanized steel(GI) is widely used throughout the industry as a corrosion resistance material. Corrosion of steel is a common phenomenon that results in the gradual degradation under various environmental conditions. Corrosion monitoring is to track the degradation progress for a long time. Corrosion on steel plate appears as discoloration and any irregularities on the surface. This study developed a quantitative evaluation method of the rust formed on GI steel plate using a superpixel-based DBSCAN clustering method and k-means clustering from the corroded area in a given image. The superpixel-based DBSCAN clustering method decrease computational costs, reaching automatic segmentation. The image color of the rusty surface was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space. In addition, two segmentation methods are compared for the particular spatial region using their histograms.

• 감성과학
• /
• 제13권4호
• /
• pp.693-702
• /
• 2010

본 연구에서는 미생물에서 추출한 천연 색소로 염색한 직물의 색채특성을 고찰하고 염색 직물의 색채감성에 영향을 미치는 색채감각과 물리적 색채특성을 규명하고자 하였다. 미생물 Zooshikellar에서 추출한 prodiginine 색소를 이용하여 적자색으로 염색된 면, 견, 모, 나일론 직물에 대하여 20대 대학생 남녀 40명을 대상으로 의미미분법을 이용한 색채감각 및 감성을 평가하였다. 미생물 prodiginine 색소로 염색한 직물의 색채감성요인은 '유쾌성', '품위성', '독특성', '편안성' 등 4개 요인으로 분류되었는데, 이 중 '유쾌성' 요인이 미생물 색소로 염색한 직물의 대표적인 색채감성요인이라는 것을 알 수 있었다. 미생물 prodiginine 색소로 염색한 직물 색채의 명도 $L^{\ast}$은 '유쾌성' 요인과 유의한 관계를, 채도인 $C^{\ast}$는 색채감성요인 모두와 유의한 관련성을 보였으며, $a^{\ast}$와 $b^{\ast}$ 의 물리적 색채변인 또한 색채감성요인에 유의한 영향을 끼쳤다. 또한 색채감각과 색채감성요인은 부분적으로 유의한 관련성을 보였다. 미생물 prodiginine 색소로 염색한 직물의 색채감성, 색채특성 및 색채감각 중에서 색상 선호도를 예측해 주는 변인은 '유쾌성'과 '독특성'을 포함한 색채감성임을 알 수 있었다.