• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.3
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• pp.1-10
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• 2000

This paper proposes a novel video coding system with rate control based on fractal algorithm To overcome the demerits of excessive amounts of coded bit generated by previous fractal coding methodology. the proposed system classifies the Image into three classes such as background, motion compensation, and fractal coding area. The motion vector for motion compensation, and the fractal offset value that is difference value between the predicted offset and the least-square approximated value are coded with variable length code The decision method which determines threshold value of partitioning quadtree is applied to the bit-rate control algorithm considering the quantity of currently generated bits and fixed channel bandwidth Experimental result shows that the proposed system enhances compression ratio 1.8 times higher than previous method for the same image quality, and performs efficient rate control for fixed channel bandwidth.

• Journal of Platform Technology
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• v.11 no.2
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• pp.26-38
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• 2023

This paper is a study on a transport robot capable of autonomously driving to a destination using a QR code in an indoor environment. The transport robot was designed and manufactured by attaching a lidar sensor so that the robot can maintain a certain distance during movement by detecting the distance between the camera for recognizing the QR code and the left and right walls. For the location information of the delivery robot, the QR code image was enlarged with Lanczos resampling interpolation, then binarized with Otsu Algorithm, and detection and analysis were performed using the Zbar library. The QR code recognition experiment was performed while changing the size of the QR code and the traveling speed of the transport robot while the camera position of the transport robot and the height of the QR code were fixed at 192cm. When the QR code size was 9cm × 9cm The recognition rate was 99.7% and almost 100% when the traveling speed of the transport robot was less than about 0.5m/s. Based on the QR code recognition rate, an experiment was conducted on the case where the destination is only going straight and the destination is going straight and turning in the absence of obstacles for autonomous driving to the destination. When the destination was only going straight, it was possible to reach the destination quickly because there was little need for position correction. However, when the destination included a turn, the time to arrive at the destination was relatively delayed due to the need for position correction. As a result of the experiment, it was found that the delivery robot arrived at the destination relatively accurately, although a slight positional error occurred while driving, and the applicability of the QR code-based destination self-driving delivery robot was confirmed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.5
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• pp.1004-1012
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• 2007

In this paper, we proposed a new car license plate recognition method using an unsupervised ART2 algorithm with HSI color model. The proposed method consists of two main modules; extracting plate area from a vehicle image and recognizing the characters in the plate after that. To extract plate area, hue(H) component of HSI color model is used, and the sub-area containing characters is acquired using modified fuzzy binarization method. Each character is further divided by a 4-directional edge tracking algorithm. To recognize the separated characters, noise-robust ART2 algorithm is employed. When the proposed algorithm is applied to recognize license plate characters, the extraction rate is better than that of existing RGB model and the overall recognition rate is about 97.4%.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.149-158
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• 2005

This paper proposed a blind watermarking method for video contents which satisfies both the invisibility and the robustness to attacks to prohibit counterfeiting, modification, illegal usage and illegal re-production of video contents. This watermarking algorithm targets MPEG compression system and was designed to control the amount of watermarking to be inserted according to the adaptive quantization scale code to follow the adaptive quantization of the compression system. The inserting positions of the watermark were chosen by considering the frequency property of an image and horizontal, vertical and diagonal property of a $8{\times}8$ image block. Also the amount of watermarking for each watermark bit was decided by considering the quantization step. This algorithm was implemented by C++ and experimented for invisibility and robustness with MPEG-2 system. The experiment results showed that the method satisfied enough the invisibility of the inserted watermark and robustness against attacks. For the general attacks, the error rate of the extracted watermark was less than $10\%$, which is enough in robustness against the attacks. Therefore, this algorithm is expected to be used effectively as a part in many MPEG systems for real-time watermarking, especially in the sensitive applications to the network environments.

• The Transactions of the Korea Information Processing Society
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• v.3 no.5
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• pp.1147-1159
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• 1996

In this paper. we develop an efficient algorithm which vectorize the table input for mixed document recognition system. It is necessary to separate character and line for recognizing the character in the table. For recognizing table, we have to recognize the character which is blocked by table line and develop the efficient rectorization method for table line. For vectorizing table, we develop several methods. The first method is to extract table line part using 8-dircction chaincodes. The second method is to extract horizontal and vertical lines using histogram of lines. The third one is to extract diagonal lines of table by using the cross points of horizontal and verticallines. Finally we also develop the table vectorization method which finds the regularity characteristics of horizontal and vertical lines composing table, In the paper, we sugest a regularity method for efficient table vectorization.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.510-513
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• 2007

가변길이 부호는 많은 이미지 및 영상 표준에서 폭넓게 사용되는 기법이다. 특히 국제 표준인 JVT와 중국 A/V 표준인 AVS는 엔트로피 코딩을 수행하기 위해 Exp-Golomb 코드에 기반한 UVLC(Universal Variable Length Code)를 채용하고 있다. 본 논문에서는 H.264/AVC의 엔트로피 코딩에서 사용되는 Exp-Golomb CODEC의 하드웨어 구현에 대해 연구하였다. 식의 간략화로 구현하기 어려운 log함수와 거듭제곱 연산을 하지 않으며, 첫 번째 1 검출기와 누산기 제어에 의한 배럴 쉬프터를 통하여 별도의 시간 지연 없이 부호화 및 복호화가 되도록 설계하였다. Xilinx ISE툴을 사용하여 합성하고, 보드 수준에서 PCI인터페이스를 사용하여 검증하였다. 본 논문에서 설계된 Exp-Glomb CODEC은 H.264/AVC 및 AVS와 같은 분야에서 응용이 가능할 것으로 예견된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.23-24
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• 2020

현재 PC환경 뿐만 아니라 모바일 환경, 임베디드 환경에서 딥러닝 모델을 구동하기 위한 많은 연구들이 진행 중에 있다. 본 연구에서는 완성된 딥러닝 모델을 구동하는 환경을 Java로 구현하여 개발 접근성을 높이고자 한다. 이미지, 영상처리를 위해 OpenCV를 사용시 C++ API문서는 보편화되어있는 반면에 JavaCv API 문서는 그렇지 못하다. 그러나 모바일 개발 환경 특성상 Java언어로 작업한 코드를 안드로이드 스튜디오에서 작업 시 그대로 가져올 수 있어 개발이 용이하다. 모델 구동을 위한 전반적인 이미지 처리 및 작업환경을 개발하였다.

• Journal of Advanced Navigation Technology
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• v.15 no.2
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• pp.298-306
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• 2011

In this paper, the RUNCODE encoder hardware IP was designed and implemented for symbol ID code length encoding, which is one of major modules of JBIG2 encoder for FAX. ImpulseC Codeveloper and Xilinx ISE/EDK program are used for the hardware generation and synthesis of VHDL code. The synthesized hardware was downloaded to Virtex-4 FX60 FPGA on ML410 development board. The synthesized hardware utilizes 13% of total slice of FPGA. Using Active-HDL tool, the hardware was verified showing normal operation. Compared with the software operating using Microblaze cpu on ML410 board, the synthesized hardware was better in operation time. The improvement ratio of operation time between the synthesized hardware and software showed about 40 times faster than software only operation. The synthesized H/W and S/W module cooperated to succeed in compressing the CCITT standard document.

• The Journal of the Acoustical Society of Korea
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• v.37 no.4
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• pp.215-222
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• 2018

This paper reports the development and performance evaluation of a backend system for real-time IVUS (Intravascular Ultrasound) imaging. The developed backend system was designed to minimize the amount of logic and memory usage by means of efficient LUTs (Look-up Tables), and it was implemented in a single FPGA (Field Programmable Gate Array) without using external memory. This makes it possible to implement the backend system that is less expensive, smaller, and lighter. The accuracy of the backend system implemented was evaluated by comparing the output of the FPGA with the result computed using a MATLAB program implemented in the same way as the VHDL (VHSIC Hardware Description Language) code. Based on the result of ex-vivo experiment using rabbit artery, the developed backend system was found to be suitable for real-time intravascular ultrasound imaging.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2277-2282
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• 2009

In this paper, we proposed a new recognition method can be used in application systems using morphological features, difference operators and ART2 algorithm. At first, edges are extracted from an acquired car image by a camera using difference operators and the image of extracted edges is binarized by a block binarization method. In order to extract license plate area, noise areas are eliminated by applying morphological features of new and existing types of license plate to the 8-directional edge tracking algorithm in the binarized image. After the extraction of license plate area, mean binarization and mini-max binarization methods are applied to the extracted license plate area in order to eliminated noises by morphological features of individual elements in the license plate area, and then each character is extracted and combined by Labeling algorithm. The extracted and combined characters(letter and number symbols) are recognized after the learning by ART2 algorithm. In order to evaluate the extraction and recognition performances of the proposed method, 200 vehicle license plate images (100 for green type and 100 for white type) are used for experiment, and the experimental results show the proposed method is effective.