• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.2938-2956
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• 2020

Objective image quality assessment (IQA) models have been developed by effective features to imitate the characteristics of human visual system (HVS). Actually, HVS is extremely sensitive to color degradation and complex texture changes. In this paper, we firstly reveal that many existing full reference image quality assessment (FR-IQA) methods can hardly measure the image quality with contrast and masking texture changes. To solve this problem, considering texture masking effect, we proposed a novel FR-IQA method, called Texture and Color Quality Index (TCQI). The proposed method considers both in the masking effect texture and color visual perceptual threshold, which adopts three kinds of features to reflect masking texture, color difference and structural information. Furthermore, random forest (RF) is used to address the drawbacks of existing pooling technologies. Compared with other traditional learning-based tools (support vector regression and neural network), RF can achieve the better prediction performance. Experiments conducted on five large-scale databases demonstrate that our approach is highly consistent with subjective perception, outperforms twelve the state-of-the-art IQA models in terms of prediction accuracy and keeps a moderate computational complexity. The cross database validation also validates our approach achieves the ability to maintain high robustness.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2009년도 추계학술대회
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• pp.54-57
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• 2009

This study was aimed to investigate the effects of visual texture on color emotion and to establish prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics were printed by digital printer according to hue and tone combinations. Subjective sensation was evaluated in terms of visual texture for fabrics printed in gray whereas color emotion for those in chromatically printed. As results, fabric clusters by visual texture showed significant differences in color emotion factors and the differences were clearer for grayish tone fabrics. Prediction models for color emotion factors by both physical color properties and visual texture clusters were proposed as for all fabrics and grayish ones, respectively.

• 한국의류학회지
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• 제34권9호
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• pp.1567-1580
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• 2010

This study investigates the effects of visual texture on color emotion and establishes prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics including silk, cotton, and flax were colored by digital textile printing according to chromatic hue and tone combinations that are evaluated in terms of color emotion. Subjective visual texture ratings are also obtained for gray-colored same fabrics to those used in color emotion tests. As a result, fabric clusters by visual texture factors showed significant differences in color emotion factors that are primarily affected by physical color properties. Finally prediction models for color emotion factors by both physical color properties and visual texture clusters were established, which has a potential to be used to explain color emotion according to the visual texture characteristics of fabrics.

• 패션비즈니스
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• 제13권6호
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• pp.89-98
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• 2009

Computer development and new printing technology allow us to express a new type of digital textile designs those were not possible in the past. In this study, watercolor overlaying effect of various colors was tried using airbrush tool in Photoshop program. Photoshop program is a powerful graphic tool and can be used in textile design area to generate various types of designs. Woven texture was also applied to the design to give yarn dyed effects or rich appearance. Photoshop program was also used to develop woven texture without the help of the professional textile CAD. Photoshop channels enables the designers to apply various textures to the image. Plain weave and houndstooth were applied in this study. Colorways of the developed designs having watercolor effect and woven texture by applying Photoshop color adjustment function. Quick and simultaneous changes of colors were possible using this method. The developed textile designs were printed by transfer DTP. Successful textile design prints were expressed and showed watercolor overlaying effect and woven texture. The printed textiles show a little brighter color, and therefore, sample printing is recommendable in case of color sensitive production.

• 디지털산업정보학회논문지
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• 제13권2호
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• pp.63-69
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• 2017

The extraction of attention NPC in a FPS game has emerged as a very significant issue. We propose an efficient FPS game operation method, using the attention NPC extraction with a simple arithmetic. First, we define the NPC, using the color histogram interaction and texture similarity in the block to determine the attention NPC. Next, we use the histogram of movement distribution and frequency of movement of the NPC. Becasue, except for the block boundary according to the texture and to extract only the boundaries of the object block. The edge strength is defined to have high values at the NPC object boundaries, while it is designed to have relatively low values at the NPC texture boundaries or in interior of a region. The region merging method also adopts the color histogram intersection technique in order to use color distribution in each region. Through the experiment, we confirmed that NPC has played a crucial role in the FPS game and as a result it draws more speed and strategic actions in the game.

• 디지털산업정보학회논문지
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• 제11권4호
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• pp.89-97
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• 2015

In this paper, a method of color image segmentation based on DBSCAN(Density Based Spatial Clustering of Applications with Noise) using compactness of superpixels and texture information is presented. The DBSCAN algorithm can generate clusters in large data sets by looking at the local density of data samples, using only two input parameters which called minimum number of data and distance of neighborhood data. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. Each superpixel is consist of pixels with similar features such as luminance, color, textures etc. Superpixels are more efficient than pixels in case of large scale image processing. In this paper, superpixels are generated by SLIC(simple linear iterative clustering) as known popular. Superpixel characteristics are described by compactness, uniformity, boundary precision and recall. The compactness is important features to depict superpixel characteristics. Each superpixel is represented by Lab color spaces, compactness and texture information. DBSCAN clustering method applied to these feature spaces to segment a color image. To evaluate the performance of the proposed method, computer simulation is carried out to several outdoor images. The experimental results show that the proposed algorithm can provide good segmentation results on various images.

• 자원환경지질
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• 제39권6호
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• pp.663-674
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• 2006

금광상에서 암석의 구조, 구조선에 따른 열수의 이동, 천열수 맥 구조, 광화작용상태 및 구성광물등을 정밀하게 분석하는 것은 광상의 배태현황, 천열수에 따른 열수광상의 성인을 확인하는 데 매우 중요하다. 따라서, 본 연구의 목적은 컬러코어스캐너 기법에 의해 구조선에 따른 열수의 이동 및 천열수 맥 구조 등에 대한 정밀한 정보를 통해 금광 배태상황과 성인을 연구하는 데 있다. 컬러코어스캐너 기법은 전남 해남지역 순신 금광산에서 천공된 3개 시추공의 시추코어 전체를 디지털 영상자료(digital image data)화하였다. 디지털 시추코어자료에서는 금이 배태하는 여러 형태의 천열수 맥 구조가 정밀하게 분석되었다. 즉, 빗살구조형, 정동구조형, 엽편상구조형, 각력구조형, 누대구조형 및 혼합구조형 등이다. 또한, 금광상 배태는 대부분 맥상체 형태의 구조들에 많이 배태하나 고품위의 금광은 각력상 형태의 구조내에 많이 배태하고 있음이 특징적이다. 금광상의 성인은 전형적인 천열수 금광상이다. 컬러코어스캐너 기법에 의한 디지털 시추코어 영상자료는 육안관찰에서 빠뜨린 부분을 다시 볼 수 있고, 반복해서 관찰 할 수 있기 때문에 암석내에 발달하는 구조상태 및 광상의 배태 현황 및 광상의 성인을 규명하는데 매우 유익하다고 판단된다.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2002년도 가을학술발표대회 디자인학 연구
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• pp.86-87
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• 2002

• 감성과학
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• 제5권3호
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• pp.11-20
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• 2002

There are Two new models developed for objective evaluation of fabric color patterns by applying a multiple regression analysis and an adaptive foray-rule-based system. The physical features of fabric color patterns are extracted through digital image processing and the emotional features are collected based on the psychological experiments of Soen[3, 4]. The principle physical features are hue, saturation, intensity and the texture of color patterns. The emotional features arc represented thirteen pairs of adverse adjectives. The multiple regression analyses and the adaptive fuzzy system are used as a tool to analyze the relations between physical and emotional features. As a result, both of the proposed models show competent performance for the approximation and the similar linguistic interpretation to the Soen's psychological experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권4호
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• pp.763-781
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• 2011

We present a texture-based hatching technique for color images and video. Whereas existing approaches produce monochrome hatching effects in considering of triangular mesh models by applying strokes of uniform size, our scheme produces color hatching effects from photographs and video using strokes with a range of sizes. We use a Delaunay triangulation to create a mesh of triangles with sizes that reflect the structure of an input image. At each vertex of this triangulation, the flow of the image is analyzed and a hatching texture is then created with the same alignment, based on real pencil strokes. This texture is given a modified version of a color sampled from the image, and then it is used to fill all the triangles adjoining the vertex. The three hatching textures that accumulate in each triangle are averaged and the result of this process across all the triangles forms the output image. We can also add a paper texture effect and enhance feature lines in the image. Our algorithm can also be applied to video. The results are visually pleasing hatching effects similar to those seen in color pencil drawings and oil paintings.