• Title/Summary/Keyword: skin sample image

Search Result 15, Processing Time 0.018 seconds

Face Region Detection Algorithm using Euclidean Distance of Color-Image (칼라 영상에서 유클리디안 거리를 이용한 얼굴영역 검출 알고리즘)

  • Jung, Haing-sup;Lee, Joo-shin
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.2 no.3
    • /
    • pp.79-86
    • /
    • 2009
  • This study proposed a method of detecting the facial area by calculating Euclidian distances among skin color elements and extracting the characteristics of the face. The proposed algorithm is composed of light calibration and face detection. The light calibration process performs calibration for the change of light. The face detection process extracts the area of skin color by calculating Euclidian distances to the input images using as characteristic vectors color and chroma in 20 skin color sample images. From the extracted facial area candidate, the eyes were detected in space C of color model CMY, and the mouth was detected in space Q of color model YIQ. From the extracted facial area candidate, the facial area was detected based on the knowledge of an ordinary face. When an experiment was conducted with 40 color images of face as input images, the method showed a face detection rate of 100%.

  • PDF

Demonstration of the Usefulness of Optical Coherence Tomography in Imaging a Mouse Tail Model of Lymphedema

  • Kim, Hui Dong;Kim, Dong Kyu;Chae, Yu-Gyeong;Park, Seok Gyo;Kim, Ghi Chan;Jeong, Ho Joong;Sim, Young-Joo;Ahn, Yeh-Chan
    • Current Optics and Photonics
    • /
    • v.1 no.2
    • /
    • pp.132-137
    • /
    • 2017
  • To investigate the usefulness of optical coherence tomography (OCT) for imaging lymphedema, we directly compared it to other histological methods in a mouse model of lymphedema. We performed detailed imaging of the lymphedema lesion on a mouse tail. We imaged the mouse tail in vivo with OCT and created histopathological samples. We constructed a spectrometer-based OCT system using a fiber-optic Michelson interferometer. The light was directed to 50:50 couplers that split the light into reference and sample arms. Backscattered light from a reference mirror and the sample produced an interference fringe. An OCT image of the lymphedema model revealed an inflammatory reaction of the skin that was accompanied by edema, leading to an increase in the light attenuation in the dermal and subcutaneous layers. Similar to OCT image findings, histological biopsy showed an inflammatory response that involved edema, increased neutrophils in epidermis and subdermis, and lymphatic microvascular dilatation. Furthermore, the lymphedema model showed an increase in thickness of the dermis in both diagnostic studies. In the mouse tail model of lymphedema, OCT imaging showed very similar results to other histological examinations. OCT provides a quick and useful diagnostic imaging technique for lymphedema and is a valuable addition or complement to other noninvasive imaging tools.

Distribution of the Quantum Dot Nano-particles that Penetrate Skin and Distinction of Combined Osmium Tetroxide in Electron Microscopic Analysis (피부로 침투된 양자점 나노입자의 분포와 전자현미경 분석 시 발견되는 오스뮴산 결합물과의 구분)

  • Choi, Ki-Ju;Park, Sang-Yong;Lee, Jeong-Min;Shin, Heon-Sub;Yang, Jung-Eun;Lee, Don-Gil;Mavonov, Garfurjon T.;Yi, Tae-Hoo
    • Applied Microscopy
    • /
    • v.42 no.1
    • /
    • pp.1-7
    • /
    • 2012
  • The possibility of nanoparticles (NPs) in biotechnology had been discussed by biomedical investigators. Here we report to suggest a solution and problems when using electron microscopy to determine the distribution of quantum dots (QDs) nanoparticles that penetrate skin. The results of this study showed that NPs were able to penetrate stratum corneum (SC) and sebocyte via hair follicle. However, we have found artifacts such as nanoparticles that are produced from combination of free fatty acid and osmium tetroxide during specimen preparation. It is usually difficult to identify NPs. Therefore, we tried to resolve these problems by comparing the cross-correlation image pattern that are derived from the images of sample that had been processed differently. This method can contribute to more accurate interpretation and minimal errors during the analysis using quantum dot as tracer.

Multi-Modal User Distance Estimation System based on Mobile Device (모바일 디바이스 기반의 멀티 모달 사용자 거리 추정 시스템)

  • Oh, Byung-Hun;Hong, Kwang-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.14 no.2
    • /
    • pp.65-71
    • /
    • 2014
  • This paper present the multi-modal user distance estimation system using mono camera and mono microphone basically equipped with a mobile device. In case of a distance estimation method using an image, we is estimated a distance of the user through the skin color region extraction step, a noise removal step, the face and eyes region detection step. On the other hand, in case of a distance estimation method using speech, we calculates the absolute difference between the value of the sample of speech input. The largest peak value of the calculated difference value is selected and samples before and after the peak are specified as the ROI(Region of Interest). The samples specified perform FFT(Fast Fourier Transform) and calculate the magnitude of the frequency domain. Magnitude obtained is compared with the distance model to calculate the likelihood. We is estimated user distance by adding with weights in the sorted value. The result of an experiment using the multi-modal method shows more improved measurement value than that of single modality.

Production and Usage of Korean Human Information in KISTI (KISTI에 있어서 한국인 인체정보의 생산과 활용)

  • Lee, Sang-Ho;Lee, Seung-Bock
    • The Journal of the Korea Contents Association
    • /
    • v.10 no.5
    • /
    • pp.416-421
    • /
    • 2010
  • The KISTI (Korea Institute of Science and Technology Information) began to produce the Korean human information called Visible Korean and Digital Korean since 2000 because there was no human information in Korea which could represent the physical characteristics of Korean human body. The Visible Korean consists of CT, MR, sectioned and segmented images of Korean human body. We obtained the serially sectioned images by grinding the Korean cadaver in horizontal direction and segmented these images by outlining the inner organs of human. We have produced the sectioned images of Korean male whole body, male head, and female pelvis in2008. The segmentation and 3D reconstruction of these images are now in proceeding. The Digital Korean consists of CT images of about 100 Korean cadavers. These CT images were segmented by individual bone, reconstructed to produce the 3D bone models and the skin surface model was also added. The mechanical properties of individual bones were obtained by measuring the property of individual bone sample. We have distributed these Korean human informations to users in domestic and abroad. About 70 institutes in domestic, and 20 institutes in abroad have used our data in research use and nearly 160 proceedings and articles were published since 2001. We think these human informations have a role of medical information infrastructure that could be used in the field of medical education, biomechanics, virtual reality etc.