• Title/Summary/Keyword: color images

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Analysis of Color Characteristics of Marine Oil Spills Using PlanetScope Images (PlanetScope 영상을 이용한 해양 유출유의 색상 특성 분석)

  • Jonggu Kang;Youjeong Youn;Seoyeon Kim;Yemin Jeong;Soyeon Choi;Yungyo Im;Youngmin Seo;Yangwon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.875-883
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    • 2023
  • In this letter, we used PlanetScope imagery to conduct experiments on the color characteristics for oil type classification of marine oil spills through Red-Green-Blue (RGB) histogram analysis. The histograms of marine oil spills can be divided into three categories (dark black tones, light silver tones, and light rainbow tones) according to the distribution of pixel values in each band. Thick oil layers with dark black tones can be classified as heavy oil, while thin oil layers with light silver and rainbow tones can be classified as light oil. As more images are analyzed in the future, these oil spill detection and classification methods will become more generalized and reliable.

Artificial Intelligence-Based Detection of Smoke Plume and Yellow Dust from GEMS Images (인공지능 기반의 GEMS 산불연기 및 황사 탐지)

  • Yemin Jeong;Youjeong Youn;Seoyeon Kim;Jonggu Kang;Soyeon Choi;Yungyo Im;Youngmin Seo;Jeong-Ah Yu;Kyoung-Hee Sung;Sang-Min Kim;Yangwon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.859-873
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    • 2023
  • Wildfires cause a lot of environmental and economic damage to the Earth over time. Various experiments have examined the harmful effects of wildfires. Also, studies for detecting wildfires and pollutant emissions using satellite remote sensing have been conducted for many years. The wildfire product for the Geostationary Environmental Monitoring Spectrometer (GEMS), Korea's first environmental satellite sensor, has not been provided yet. In this study, a false-color composite for better expression of wildfire smoke was created from GEMS and used in a U-Net model for wildfire detection. Then, a classification model was constructed to distinguish yellow dust from the wildfire smoke candidate pixels. The proposed method can contribute to disaster monitoring using GEMS images.

Image Watermarking for Copyright Protection of Images on Shopping Mall (쇼핑몰 이미지 저작권보호를 위한 영상 워터마킹)

  • Bae, Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.147-157
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    • 2013
  • With the advent of the digital environment that can be accessed anytime, anywhere with the introduction of high-speed network, the free distribution and use of digital content were made possible. Ironically this environment is raising a variety of copyright infringement, and product images used in the online shopping mall are pirated frequently. There are many controversial issues whether shopping mall images are creative works or not. According to Supreme Court's decision in 2001, to ad pictures taken with ham products is simply a clone of the appearance of objects to deliver nothing but the decision was not only creative expression. But for the photographer's losses recognized in the advertising photo shoot takes the typical cost was estimated damages. According to Seoul District Court precedents in 2003, if there are the photographer's personality and creativity in the selection of the subject, the composition of the set, the direction and amount of light control, set the angle of the camera, shutter speed, shutter chance, other shooting methods for capturing, developing and printing process, the works should be protected by copyright law by the Court's sentence. In order to receive copyright protection of the shopping mall images by the law, it is simply not to convey the status of the product, the photographer's personality and creativity can be recognized that it requires effort. Accordingly, the cost of making the mall image increases, and the necessity for copyright protection becomes higher. The product images of the online shopping mall have a very unique configuration unlike the general pictures such as portraits and landscape photos and, therefore, the general image watermarking technique can not satisfy the requirements of the image watermarking. Because background of product images commonly used in shopping malls is white or black, or gray scale (gradient) color, it is difficult to utilize the space to embed a watermark and the area is very sensitive even a slight change. In this paper, the characteristics of images used in shopping malls are analyzed and a watermarking technology which is suitable to the shopping mall images is proposed. The proposed image watermarking technology divide a product image into smaller blocks, and the corresponding blocks are transformed by DCT (Discrete Cosine Transform), and then the watermark information was inserted into images using quantization of DCT coefficients. Because uniform treatment of the DCT coefficients for quantization cause visual blocking artifacts, the proposed algorithm used weighted mask which quantizes finely the coefficients located block boundaries and coarsely the coefficients located center area of the block. This mask improves subjective visual quality as well as the objective quality of the images. In addition, in order to improve the safety of the algorithm, the blocks which is embedded the watermark are randomly selected and the turbo code is used to reduce the BER when extracting the watermark. The PSNR(Peak Signal to Noise Ratio) of the shopping mall image watermarked by the proposed algorithm is 40.7~48.5[dB] and BER(Bit Error Rate) after JPEG with QF = 70 is 0. This means the watermarked image is high quality and the algorithm is robust to JPEG compression that is used generally at the online shopping malls. Also, for 40% change in size and 40 degrees of rotation, the BER is 0. In general, the shopping malls are used compressed images with QF which is higher than 90. Because the pirated image is used to replicate from original image, the proposed algorithm can identify the copyright infringement in the most cases. As shown the experimental results, the proposed algorithm is suitable to the shopping mall images with simple background. However, the future study should be carried out to enhance the robustness of the proposed algorithm because the robustness loss is occurred after mask process.

The Multi Knowledge-based Image Retrieval Technology for An Automobile Head Lamp Retrieval (자동차 전조등 검색을 위한 다중지식기반의 영상검색 기법)

  • 이병일;손병환;홍성욱;손성건;최흥국
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.3
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    • pp.27-35
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    • 2002
  • A knowledge-based image retrieval technique is image searching methods using some features from the queried image. The materials in this study are automobile head lamps. The input data is composed of characters and images which have various pattern. The numbers, special symbols, and general letters are under the category of the character. The image informations are made up of the distribution of pixel data, statistical analysis, and state of pattern which are useful for the knowledge data. In this paper, we implemented a retrieval system for the scientific crime detection at traffic accident using the proposed multi knowledge-based image retrieval technique. The values for the multi knowledge-based image features were extracted from color and gray scale each. With this 22 features, we improved the retrieval efficiency about the color information and pattern information. Visual basic, crystal report and MS access DB were used for this application. We anticipate the efficient scientific detection for the traffic accident and the tracking of suspicious vehicle.

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Efficiency Analysis of Cardiac Hand Acupuncture by Measuring the Bio-Image Signals (생체 영상신호 측정을 통한 심장 수지침 효능 분석)

  • Kim, Bong-Hyun;Cho, Dong-Uk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.7
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    • pp.3319-3325
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    • 2013
  • In this paper, hand acupuncture used as a way of life medicine in everyday life, the influence of human organ will be investigated by applying IT techniques. For this, hand acupuncture is based on priority of the most important organ in the human body to target the cardiac associated with cardiac reflex point A16 acupuncture point before and after for 5 min to stimulation of facial images were collected and applied to the Lab color system associated with the cardiac, color value of cheonjung and lips region were measured for comparison and analysis. Finally, by measuring the change in bio-image signals A16 acupuncture point stimulation effects on cardiac function were performed to investigate the effectiveness of acupuncture. Also, statistical significance tests from the experimental results were performed whether the experimental results is valid or not.

Development of Pose-Invariant Face Recognition System for Mobile Robot Applications

  • Lee, Tai-Gun;Park, Sung-Kee;Kim, Mun-Sang;Park, Mig-Non
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.783-788
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    • 2003
  • In this paper, we present a new approach to detect and recognize human face in the image from vision camera equipped on the mobile robot platform. Due to the mobility of camera platform, obtained facial image is small and pose-various. For this condition, new algorithm should cope with these constraints and can detect and recognize face in nearly real time. In detection step, ‘coarse to fine’ detection strategy is used. Firstly, region boundary including face is roughly located by dual ellipse templates of facial color and on this region, the locations of three main facial features- two eyes and mouth-are estimated. For this, simplified facial feature maps using characteristic chrominance are made out and candidate pixels are segmented as eye or mouth pixels group. These candidate facial features are verified whether the length and orientation of feature pairs are suitable for face geometry. In recognition step, pseudo-convex hull area of gray face image is defined which area includes feature triangle connecting two eyes and mouth. And random lattice line set are composed and laid on this convex hull area, and then 2D appearance of this area is represented. From these procedures, facial information of detected face is obtained and face DB images are similarly processed for each person class. Based on facial information of these areas, distance measure of match of lattice lines is calculated and face image is recognized using this measure as a classifier. This proposed detection and recognition algorithms overcome the constraints of previous approach [15], make real-time face detection and recognition possible, and guarantee the correct recognition irregardless of some pose variation of face. The usefulness at mobile robot application is demonstrated.

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A Flexible Protection Technique of an Object Region Using Image Blurring (영상 블러링을 사용한 물체 영역의 유연한 보호 기법)

  • Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.84-90
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    • 2020
  • As the uploading and downloading of data through the Internet is becoming more common, data including personal information are easily exposed to unauthorized users. In this study, we detect a target area in images that contain personal information, except for the background, and we protect the detected target area by using a blocking method suitable for the surrounding situation. In this method, only the target area from color image input containing personal information is segmented based on skin color. Subsequently, blurring of the corresponding area is performed in multiple stages based on the surrounding situation to effectively block the detected area, thereby protecting the personal information from being exposed. Experimental results show that the proposed method blocks the object region containing personal information 2.3% more accurately than an existing method. The proposed method is expected to be utilized in fields related to image processing, such as video security, target surveillance, and object covering.

Comparison of recognition rate with distance on stereo face images base PCA (PCA기반의 스테레오 얼굴영상에서 거리에 따른 인식률 비교)

  • Park Chang-Han;Namkung Jae-Chan
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.1
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    • pp.9-16
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    • 2005
  • In this paper, we compare face recognition rate by distance change using Principal Component Analysis algorithm being input left and right image in stereo image. Change to YCbCr color space from RGB color space in proposed method and face region does detection. Also, after acquire distance using stereo image extracted face image's extension and reduce do extract robust face region, experimented recognition rate by using PCA algorithm. Could get face recognition rate of 98.61%(30cm), 98.91%(50cm), 99.05%(100cm), 99.90%(120cm), 97.31%(150cm) and 96.71%(200cm) by average recognition result of acquired face image. Therefore, method that is proposed through an experiment showed that can get high recognition rate if apply scale up or reduction according to distance.

Sea Fog Detection Algorithm Using Visible and Near Infrared Bands (가시 밴드와 근적외 밴드를 이용한 해무 탐지 알고리즘)

  • Lee, Kyung-Hun;Kwon, Byung-Hyuk;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.669-676
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    • 2018
  • The Geostationary Ocean Color Imager(: GOCI) detects the sea fog at a high horizontal resolution of $500m{\times}500m$ using the Rayleigh corrected reflectance of 8 bands. The visible and the near infrared waves strongly reflect the characteristics of the earth surface, causing errors in cloud and fog detection. A threshold of the Band7 reflectance was set to detect the sea fog entering the land. When the region on which Band4 reflectance is larger than Band8 is determinated as cloud, the error over-estimated as sea fog is corrected by comparing the average reflectance with the surrounding region. The improved algorithm has been verified by comparing the fog images of the Cheollian satellite (COMS: Communication, Ocean, and Meteorological Satellite) as well as the visibility data from the Korea Meteorological Administration.

Socks Design Development Based on Design Preferences Research (디자인 선호도 조사에 의한 양말 디자인 개발)

  • Pan, Rui Nan;Kim, Ji Young
    • Journal of the Korean Society of Costume
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    • v.64 no.4
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    • pp.76-90
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    • 2014
  • The purpose of this study is to develop high-valued added socks by utilizing consumer design preference research in design. The study was performed by investigating literatures including previous studies, and researching the recognition and design preference of consumers. As a final step, socks designs were developed to reflect the results of the research. Gender differences have been found in the choice of socks. Women put more importance to the design, color and trend and prefer geometric, animals and plants patterns, and unique images compared to men. In terms of fashion interest level, 'high' group preferred design, color, and trend than 'middle' and 'low' group, and also preferred geometric, abstract patterns. Women's and unisex socks were designed for people in their 20s, the age group with the highest level of interest in fashion, after taking results of the consumer design preference research into account. Main themes for the lady's socks are 'Soft Shape' and 'Line Composition' in order to express delicate, soft sensibility. For the unisex socks, 'Daydreamer' and 'Free Zone' are the themes used to express young energy and the sense of freedom. 12 styles were developed by creating 3 styles per theme using Photoshop CS5 and Illustrator CS5 programs. As a result, it is confirmed that design strategies in segmented market are necessary for the high-valued added products. Also, the understanding of changes in consumer's tastes and needs through regular market research is needed for the competitive socks design planning.