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Image Information and Communication Engineering [Omachi-Miyazaki] Lab
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An image processing lab that works to make computers recognize and understand text and images.
AboutAbout the lab
Toward a society where people and computers coexist.
The Image Information and Communication Engineering Lab (Omachi-Miyazaki Lab) researches how to enable computers to recognize and understand text and images as precisely as humans do.
Images are all around us, such as photos taken with mobile phones.
The lab aims to conduct research that uses such images to be useful in daily life or to make it more enjoyable.
Its main research themes are scene text detection, video and image coding, indoor localization, and deep learning.
Key terms
- Coding
- Converting and compressing video and image data so that it can be transmitted and stored efficiently
- Deep Learning
- Machine learning that uses multilayer neural networks, which learn the features of data by imitating the neurons of the human brain
- Omnidirectional Camera
- A camera that can capture a 360-degree view of its surroundings in a single frame, allowing it to acquire the surrounding text information all at once
ResearchResearch themes
The lab specializes in image processing, with the aim of developing computers that can recognize and understand text and images as precisely as humans. It works on text detection and recognition, video and image coding, indoor localization, deep learning, and more.
*Illustrative imageApplications Using Text Recognition
The lab considers smartphones, omnidirectional cameras, and eyeglass-type devices as devices that can capture text information. The captured text information is used in detection and recognition technologies.
*Illustrative imageVideo and Image Coding
Video and images contain an extremely large amount of information, so transmitting and storing them efficiently requires coding technology that compresses them. The lab works on coding that focuses on objects and text regions, among other topics.
*Illustrative imageDeep Learning
CNNs are widely used in image recognition, including text recognition, face recognition, and object recognition. The lab works on recognizing low-resolution text images and identifying mackerel, among other topics.
*Illustrative imageIndoor Navigation
GPS does not work indoors, and electronic maps are rarely available. The lab therefore researches navigation that creates map data from images of guide boards, as well as position estimation using signboard images.
MembersFaculty
The lab's members consist of faculty, administrative staff, and students in the doctoral, master's, and undergraduate programs. Faculty from other departments of the university also take part in supervising students.As of 2026
- ProfessorShinichiro Omachi
- Associate ProfessorTomo Miyazaki
- Assistant ProfessorYongsong Huang
- Assistant ProfessorJuan Wang
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Image processing post otsus algorithm” Pikez33 / CC BY 1.0 (cropped)
- Applications Using Text Recognition: “Multilingual street sign in Kormacit” Libresocietycy / CC BY-SA 4.0 (cropped)
- Video and Image Coding: “Typical video encoder” Odeson / CC BY-SA 4.0 (cropped)
- Deep Learning: “Convolutional Neural Network” Irisbox / CC BY 4.0 (cropped)
- Indoor Navigation: “Galeria shopping mall interior 18” MBH / CC BY 4.0 (cropped)
- Related lab (Yoshidome Lab): “HydrationLayer2New” Babusingh252 at en.wikipedia / Public domain (cropped)
- Related lab (Human Interface [(Omachi)-Nose] Lab): “Neumann U87 Condenser Microphone - Studio A, In Your Ear Studios” Will Fisher from Richmond, VA, United States / CC BY-SA 2.0 (cropped)
- Related lab (Solid-State Electronics Lab): “Wafer - 2” Windell Oskay / CC BY 2.0 (cropped)
- Related lab (Matsueda Lab): “Quantum images ( )” National Institute of Standards and Technology / Public domain (cropped)
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