JICS

1. High-Speed Maritime Object Detection Using Image Preprocessing Algorithms and Deep Learning for Collision Avoidance with Aids to Navigation

Young-Min Kim, Ki-Won Kwon, Tae-Ho Im, Vol. 25, No. 5, pp. 131-140, Oct. 2024

10.7472/jksii.2024.25.5.131
Keywords: Horizontal line detection, vessel detection, Binarization, route sign, Image Segmentation

2. 3D Medical Image Data Augmentation for CT Image Segmentation

Seonghyeon Ko, Huigyu Yang, Moonseong Kim, Hyunseung Choo, Vol. 24, No. 4, pp. 85-92, Aug. 2023

10.7472/jksii.2023.24.4.85
Keywords: Rib fracture segmentation, data augmentation, Deep Learning, Artificial intelligence

3. Makeup transfer by applying a loss function based on facial segmentation combining edge with color information

So-hyun Lim, Jun-chul Chun, Vol. 23, No. 4, pp. 35-43, Aug. 2022

10.7472/jksii.2022.23.4.35
Keywords: Makeup Transfer, generative adversarial networks, Histogram of Gradient, BeautyGAN, Loss Function, Facial segmentation

4. Development of Real-Time Objects Segmentation for Dual-Camera Synthesis in iOS

Yoo-jin Jang, Ji-yeong Kim, Ju-hyun Lee, Jun Hwang, Vol. 22, No. 3, pp. 37-43, Jun. 2021

10.7472/jksii.2021.22.3.37
Keywords: OS, Semantic segmentation, depth, computer vision, Dual Camera, Mobile Application

5. A New Hyper Parameter of Hounsfield Unit Range in Liver Segmentation

Kangjik Kim, Junchul Chun, Vol. 21, No. 3, pp. 103-111, Jun. 2020

10.7472/jksii.2020.21.3.103
Keywords: U-net, Liver Segmentation, Hounsfield Unit (HU), ResUNet

6. The design and implementation of Object-based bioimage matching on a Mobile Device

Chanil Park, Seung-jin Moon, Vol. 20, No. 6, pp. 1-10, Dec. 2019

10.7472/jksii.2019.20.6.1
Keywords: Object-based image matching, Image Segmentation, SIFT, Biomedical Informatics

7. A Study on Model for Drivable Area Segmentation based on Deep Learning

Hyo-jin Jeon, Soo-sun Cho, Vol. 20, No. 5, pp. 105-111, Oct. 2019

10.7472/jksii.2019.20.5.105
Keywords: Drivable area segmentation, segmentation, Deep Learning, DeepLab V3+, Mask R-CNN, BDD Dataset

8. Semantic Indoor Image Segmentation using Spatial Class Simplification

Jung-hwan Kim, Hyung-il Choi, Vol. 20, No. 3, pp. 33-41, Jun. 2019

10.7472/jksii.2019.20.3.33
Keywords: Semantic image segmentation, Indoor space structure, Machine Learning

9. A Study on US Consumer’s Subjectivity Schemata of Sharing Economy: Q Methodology

Ki-youn Kim, Vol. 19, No. 4, pp. 107-121, Aug. 2018

10.7472/jksii.2018.19.4.107
Keywords: Sharing Economy, Subjectivity, Schemata, Q Methodology, Consumer Behavior, segmentation

10. A Robust Object Detection and Tracking Method using RGB-D Model

Park, Seohee;Chun, Junchul;, Vol. 18, No. 4, pp. 61-68, Aug. 2017

10.7472/jksii.2017.18.4.61
Keywords: 3D CCTV, video surveillance, Object Detection, object tracking, Depth Map, Image Segmentation