• The Journal of the Korea Contents Association
• /
• v.17 no.5
• /
• pp.624-632
• /
• 2017

Automatic butterfly identification using images is one of the interesting research fields because it helps the related researchers studying species diversity and evolutionary and development process a lot in this field. The performance of the butterfly species identification system is dependent heavily on the quality of selected features. In this paper, we propose color intensity (CI) entropy by using the distribution of color intensities in a butterfly image. We show color intensity entropy can increase the recognition rate by 10% if it is used together with previously suggested branch length similarity entropy. In addition, the performance comparison with other features such as Eigenface, 2D Fourier transform, and 2D wavelet transform is conducted against several well known machine learning methods.

• Journal of People, Plants, and Environment
• /
• v.22 no.2
• /
• pp.127-143
• /
• 2019

This study investigates the color stimuli of two varieties of foliage plants by extracting electroencephalogram, electrocardiogram and physiology activity data from 30 participants in their 50s or older. Changes in the physiological activity of subjects against six color stimuli were examined. The stimulus to real green plants 'Silver Queen' was set as the control group, and was compared with other groups including the stimulus to real 'Angel' plants and four stimuli to artificial colors (two color images and color schemes of the same green and red plants). Compared to the five groups, the relative theta power spectrum (RT) and the ratio of alpha to high beta (RAHB) increased in the subjects exposed to real green plants. This result demonstrates that the green plant ('Silver Queen') increases the stability, relaxation, and internal concentration of subjects in a proper state of awakening. The result of this experiment showed a statistically significant difference in the level of RT when subjects were exposed to the groups of real green and red plants. This finding indicates that the green plant increases internal concentration more than the red plant. RT and the relative low beta power spectrum (RLB) in the groups of natural colors were higher than the groups of artificial colors when subjects focused their mind on the two types of real plants. However, the level of relative mid beta power spectrum (RMB), ratio of SMR to theta (RST), ratio of mid beta to theta (RMT), relative high beta power spectrum (RHB), and spectral edge frequency 95% were higher when subjects were exposed to the photos and colors scheme of plants than when they were exposed to real plants. The subjects experienced more "comfortable" emotions when they were looking at plants with green colors. Overall, it is recommended to use the natural colors of real plants in places where which stability and relaxation are required. On the contrary, the artificial colors of plants such as their photos and color schemes are useful in places where a high level of concentration is required in a short period of time.

• Journal of the Korea Computer Graphics Society
• /
• v.16 no.1
• /
• pp.1-7
• /
• 2010

With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

• Journal of Fashion Business
• /
• v.7 no.1
• /
• pp.116-134
• /
• 2003

The beauty industry of today tends to gradually develope as one of the important marketing strategies along with the total fashion sector. Hair color, being one of the factors of hair style, especially builds his or her own image and even becomes the nonverbal communication method which let others know him/herself. Therefore, women's needs and expectations of hair coloring are varied. To meet these need, it is urgent to figure out, most of all, the status of customers' awareness about hair coloring. Thus, in this study, research and analysis on hair coloring were made, focusing on the women utilizing 20 beauty shops in Changwon city. And the goal that this study set is to use as the study material for the hair coloring consulting in the beauty industry and the basic data for marketing in the industry job-sites. The conclusion by the three factors(age, job, monthly income) were as follows: 1. Dandyism was on the 1st order in the reason for coloring hair regardless of age, job, and monthly income. This seems to be speaking for the change of women's awareness of coloring hair. 2. The subject of making decision upon whether she was going to color her hair or not was herself regardless of age, job, and monthly income. Among the people belong to these three factors, brown was the color in overall preference. 3. More than half of those who belong to the three factors were not aware of the hair color, but their senses and interest in the color in vogue were high. 4. In terms of the hair coloring periodic time, many people had $2{\sim}3$months, but it was possible to know that they were interested in improving their images, considering the fact that most of the salaried people had their hair dyed within a month and the people in service job over a month. 5. The acquaintance around me had the strongest effect in collecting information from the people in those three factors and mass media was the next. The results of this study, in my opinion, would help the customers have beautiful and healthy hair and make images of their own by making the hair designers develope professional knowledges and skills on the hair coloring and improve the quality of beauty services.

• Korean Journal of Remote Sensing
• /
• v.37 no.6_3
• /
• pp.1943-1949
• /
• 2021

In recent years, as the demand of high-resolution satellite images increases due to the miniaturization and constellation of satellites, various efforts to support users to utilize satellite images more conveniently are performed. Accordingly, the Korea Aerospace Research Institute produces and provides mosaic images on the Korean Peninsula every year to improve the convenience of users in the public sector and activate the use of satellite images. In order to increase the utilization of mosaic images on the Korean Peninsula, a study on satellite image segmentation and classification using mosaic images was attempted. However, since mosaic images provide only R, G, and B bands and processes such as image sharpening and color balancing are applied, there is a limitation that the spectral information of original images is distorted, so various indices were extracted and classified using R, G, and B bands to compensate for this. As a result of the study, the accuracy of image classification results using only mosaic images was about 72%, while the accuracy of image classification results using indices extracted from R, G, and B bands together was about 79%. Through this, it was confirmed that when performing image classification using mosaic images on the Korean Peninsula, the image classification results can be improved if the indices extracted from R, G, and B bands are used together. These research results are expected to be applied not only to mosaic images but also to images in which spectral information is limited or only R, G, and B bands are provided.

• Archives of design research
• /
• v.16 no.4
• /
• pp.481-488
• /
• 2003

A method to select the proper file formats of thumbnail images is proposed. After the experimental works for image file formats such as JPEG, GIF, and those effectiveness to the features contained in images, four features are obtained by feature extraction methods used in contents based image indexing, those are, the details, highly saturated colored area, the number of clustered color, and the amount of continuously varying hue. Also it is described the way to select the proper file format with those four features. In the thumbnail image generation experiments, 6 sample images are used, and with subjective assessment experiments, the resulted thumbnail images are shown to be consistent to the file formats chosen by human subjects, that is, favorable to human vision, which means the proposed method can be utilized as an automatic and systematic generation of thumbnail images for a lot of images on Web.

• Korean Journal of Human Ecology
• /
• v.12 no.4
• /
• pp.539-552
• /
• 2003

The purpose of this study was to find out the proper evaluative words and colors according to various fashion images and to classify the fashion images according to certain criteria. 13 books which included the content of the fashion images were selected to draw evaluative words and colors. Evaluative words and colors were found out as follows: classic image-traditional, classical, conservative and brown, wine, dark yellow, modem image-intelligent, rational, westernized and achromatic color, cool colors, elegance image-dignified, graceful, chic and greyish tone, pale tone, romantic image-cute, lovely, girlish, natural image-natural, comfortable, gently and brown, ivory beige, khaki, casual image-energetic, comfortable, active and red, yellow, blue family. The classification of fashion images according to various criteria were as follows. According to sex: feminine-elegance, romantic, pretty and masculine-mannish, dandy, military. According to time: past-conservative, traditional, classical, and present-modern, contemporary, sophisticate. According to formality: formal-formal wear of classic, elegance, mannish, dandy style and informal-natural, casual. According to intelligence, the elite style-modern, elegance, classic, sophisticate and the public style-casual, natural.

• Journal of the Korea Society of Computer and Information
• /
• v.10 no.2 s.34
• /
• pp.97-104
• /
• 2005

Caption texts frequently inserted in a manufactured video image for helping an understanding of the TV audience. In the movies. replacement of the caption texts can be achieved without any loss of an original image, because the caption texts have their own track in the films. To replace the caption texts in early methods. the new texts have been inserted the caption area in the video images, which is filled a certain color for removing established caption texts. However, the use of these methods could be lost the original images in the caption area, so it is a Problematic method to the TV audience. In this Paper, we propose a new method for replacing the caption text after recovering original image in the caption area. In the experiments. the results in the complex images show some distortion after recovering original images, but most results show a good caption text with the recovered image. As such, this new method is effectively demonstrated to replace the caption texts in video images.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.5
• /
• pp.123-131
• /
• 2016

To capture color and near-infrared images simultaneously, a multi-spectral filter array(MSFA) sensor is used. This is because an NIR band gives additional invisible information to human eyes to see subject under extremely low light level. However, because lenses have different refractive indices for different wavelengths, lenses may fail to focus widely different rays to the same convergence point. This is why a chromatic aberration(CA) problem occurs and images are degraded. In this paper, the image restoration algorithm for an MSFA image, which removes the CA problem, is presented. The obtained MSFA image is filtered by the estimated low-pass kernel to generate a base image. This base image is used to remove CA problem in multi-spectral(MS) images. By modeling the image degradation process and by using the least squares approach of the difference between the high-frequencies of the base and MS images, the desired high-resolution MS images are reconstructed. The experimental results show that the proposed algorithm performs well in estimating the high-quality MS images and reducing the chromatic aberration problem.

• Journal of Korea Multimedia Society
• /
• v.23 no.4
• /
• pp.539-548
• /
• 2020

Deep learning technology is currently being used and applied in many different fields. Convolution neural network (CNN) is a method of artificial neural networks in deep learning, which is commonly used for analyzing different types of images through classification. In the conventional classification of histopathology images of prostate carcinomas, the rating of cancer is classified by human subjective observation. However, this approach has produced to some misdiagnosing of cancer grading. To solve this problem, CNN based classification method is proposed in this paper, to train the histological images and classify the prostate cancer grading into two classes of the benign and malignant. The CNN architecture used in this paper is based on the VGG models, which is specialized for image classification. However, color normalization was performed based on the contrast enhancement technique, and the normalized images were used for CNN training, to compare the classification results of both original and normalized images. In all cases, accuracy was over 90%, accuracy of the original was 96%, accuracy of other cases was higher, and loss was the lowest with 9%.