Browsing by Author "Wu, Yin-Yi"

Now showing 1 - 9 of 9

A Modified H.264 Intra-frame Video Encoder for Capsule Endoscope
(2008-01-01)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Lai, Hsin-Cheng
;
Weng, Ping-Kuo
;
電控工程研究所
The objective of this paper is to develop an ultra-low-power video compression processor for capsule endoscope to lower the RF transmitter bandwidth. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are also many fast video compression algorithms for reducing computation load; however, they may result in distortion of original image. A new video compression algorithm for gastrointestinal image based on H.264 Intra-frame encoder and its corresponding VLSI architecture are both proposed for low-power, high bite-rate wireless capsule endoscope. The algorithm exploits the characteristic of gastrointestinal image and H.264 intra-frame prediction technique to reduce computing complexity and save battery power consumption. As the result of implementation, the developed video compressor for 512-by-512 image sensor and 2 Mbits/sec RF transmitter costs 60k gates and consumes 0.9161mW power at 2 frames/sec while the average compression rate can be as low as 82%.
A Modified H.264 Intra-frame Video Encoder for Capsule Endoscope
(2008)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Lai, Hsin-Cheng
;
Weng, Ping-Kuo
;
電控工程研究所
The objective of this paper is to develop an ultra-low-power video compression processor for capsule endoscope to lower the RF transmitter bandwidth. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are also many fast video compression algorithms for reducing computation load; however, they may result in distortion of original image. A new video compression algorithm for gastrointestinal image based on H.264 Intra-frame encoder and its corresponding VLSI architecture are both proposed for low-power, high bite-rate wireless capsule endoscope. The algorithm exploits the characteristic of gastrointestinal image and H.264 intra-frame prediction technique to reduce computing complexity and save battery power consumption. As the result of implementation, the developed video compressor for 512-by-512 image sensor and 2 Mbits/sec RF transmitter costs 60k gates and consumes 0.9161mW power at 2 frames/sec while the average compression rate can be as low as 82%.
A Modified H.264 Intra-frame Video Encoder for Capsule Endoscope
(2008)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Lai, Hsin-Cheng
;
Weng, Ping-Kuo
;
電控工程研究所
The objective of this paper is to develop an ultra-low-power video compression processor for capsule endoscope to lower the RF transmitter bandwidth. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are also many fast video compression algorithms for reducing computation load; however, they may result in distortion of original image. A new video compression algorithm for gastrointestinal image based on H.264 Intra-frame encoder and its corresponding VLSI architecture are both proposed for low-power, high bite-rate wireless capsule endoscope. The algorithm exploits the characteristic of gastrointestinal image and H.264 intra-frame prediction technique to reduce computing complexity and save battery power consumption. As the result of implementation, the developed video compressor for 512-by-512 image sensor and 2 Mbits/sec RF transmitter costs 60k gates and consumes 0.9161mW power at 2 frames/sec while the average compression rate can be as low as 82%.
A Wireless Narrow-Band Imaging Chip for Capsule Endoscope
(2009)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
Weng, Ping-Kuo
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
NBI endoscope has been shown to be a superior diagnostic tool for early stage lesion detection, equally wireless capsule endoscope has been proven a effective means of gastrointestinal tract diagnosis. In this paper, we present the first narrow band imaging wireless capsule endoscope. The dedicated dual-mode COMS sensor can offer both white light and narrow band images. Implementation results show that the designated 512- by-512 CMOS sensor consumes only 2mA at 3V power supply. The average current of the NBI capsule with a 8Mbps RF transmitter is nearly 7 mA that can work for 6 to 8 hours with two 1.5V 80mA button batteries while the frame rate is 2 fps.
A Wireless Narrowband Imaging Chip for Capsule Endoscope
(2010-12-01)
Dung, Lan-Rong
;
Wu, Yin-Yi
;
電控工程研究所
;
Institute of Electrical and Control Engineering
This paper presents a dual-mode capsule gastrointestinal endoscope device. An endoscope combined with a narrowband image (NBI), has been shown to be a superior diagnostic tool for early stage tissue neoplasms detection. Nevertheless, a wireless capsule endoscope with the narrowband imaging technology has not been presented in the market up to now. The narrowband image acquisition and power dissipation reduction are the main challenges of NBI capsule endoscope. In this paper, we present the first narrowband imaging capsule endoscope that can assist clinical doctors to effectively diagnose early gastrointestinal cancers, profited from our dedicated dual-mode complementary metal-oxide semiconductor (CMOS) sensor. The dedicated dual-mode CMOS sensor can offer white-light and narrowband images. Implementation results show that the proposed 512 x 512 CMOS sensor consumes only 2 mA at a 3-V power supply. The average current of the NBI capsule with an 8-Mb/s RF transmitter is nearly 7 similar to 8 mA that can continuously work for 6 similar to 8 h with two 1.5-V 80-mAh button batteries while the frame rate is 2 fps. Experimental results on backside mucosa of a human tongue and pig's small intestine showed that the wireless NBI capsule endoscope can significantly improve the image quality, compared with a commercial-of-the-shelf capsule endoscope for gastrointestinal tract diagnosis.
An Adaptive Particle Filtering for Solving Occlusion Problems of Video Tracking
(2015)
Dung, Lan-Rong
;
Huang, Yu-Chi
;
Huang, Ren-Yu
;
Wu, Yin-Yi
;
交大名義發表
In recent years, the visual object tracking has drawn increasing interests. There are many applications, e.g., video surveillance in airports, schools, hospitals and traffic. The object surveillance may provide crucial information about the behavior, interaction, and relationship between objects of interest. This paper addresses issues in object tracking where videos contain complex scenarios. We propose an adaptive particle filters tracking scheme with exquisite resampling (AERPF), which improves prediction, importance sampling and resampling. In prediction step, an adaptive strategy for search region and particle number is addressed for object disappearing or obstacle disturbance, which can obtain results more effectively. In addition, in importance sampling, we use optical flow to refine the particle weights using the dynamical object motion information, which results the better accuracy of object location updating. Moreover, exquisite resampling (ER) algorithm can be applied for reflecting more the posterior probability density function of true state. The proposed method can be applied for object tracking both on fixed and active camera, handling partial occlusion and full occlusion problem properly. As a result, it outperforms other existing methods.
Image stitching and image reconstruction of intestines captured using radial imaging capsule endoscope
(2012-05-01)
Mang Ou-Yang
;
Jeng, Wei-De
;
Wu, Yin-Yi
;
Dung, Lan-Rong
;
Wu, Hsien-Ming
This study investigates image processing using the radial imaging capsule endoscope (RICE) system. First, an experimental environment is established in which a simulated object has a shape that is similar to a cylinder, such that a triaxial platform can be used to push the RICE into the sample and capture radial images. Then four algorithms (mean absolute error, mean square error, Pearson correlation coefficient, and deformation processing) are used to stitch the images together. The Pearson correlation coefficient method is the most effective algorithm because it yields the highest peak signal-to-noise ratio, higher than 80.69 compared to the original image. Furthermore, a living animal experiment is carried out. Finally, the Pearson correlation coefficient method and vector deformation processing are used to stitch the images that were captured in the living animal experiment. This method is very attractive because unlike the other methods, in which two lenses are required to reconstruct the geometrical image, RICE uses only one lens and one mirror. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.5.057004]
On Gaze Estimation Using Integral Projection of Eye Images
(2018-01-01)
Dung, Lan-Rong
;
Lee, Yu-Cheng
;
Wu, Yin-Yi
;
交大名義發表
;
National Chiao Tung University
This paper presents a gaze estimation algorithm using integral projection of eye images with advantage of low additional hardware requirement and low computational power. The algorithm needs only a webcam under nature light source and captured eye images in a non-intrusive way. Before integral projection, we used binarization process to eliminate the non-related image information to gaze position. Projected on binary eye images with projection adjustment method to avoid eye tilt makes projection error and defined the accurate integral range of eye ROI images to achieve robust gaze estimation. We analyzed the projection diagram with skewness to describe the variation of different gaze position. In skewness calculation, the pixel coordinate of eye ROI images has been normalized to avoid head moved back and forth makes the size of ROI changed. In horizontal direction, the error angle of our algorithm is 2.29 degrees, maximum error angle is 4.8 degrees and the resolution we defined is 7.5. Because our algorithm is inaccurate in vertical, we could only estimate gaze direction, but to estimate precise angle. The computational power of our algorithm is low, the average execution time of each frame is only 0.01652 s, only 24% of opponent.
Shadow Touching for Interactive Projectors
(2013)
Dung, Lan-Rong
;
Lai, Guan-Ying
;
Wu, Yin-Yi
;
電機資訊學士班
;
Undergraduate Honors Program of Electrical Engineering and Computer Science
Touching devices have become one of the major elements in today's most electronic devices. As the increasing demands of large touching area, the state-of-the-art touching approaches become costly and infeasible. Therefore, it is essential to design a new kind of touch techniques with high touching accuracy and scalability with touching panel size. The purpose of this paper is to provide a touch system that uses the distance between the object (finger or stylus) and its shadow to detect the touch-timing and position. It can be applied to an interactive projection system without using large amount of touch-detecting elements. The proposed touch system only requires a camera and an IR source with an interactive projector to detect the occurrence of touching and its location. The proposed system achieves an average detection rate of 97.53% when the error tolerance is 10 pixels.