scholarly journals Ambient Light Rejection Integrated Circuit for Autonomous Adaptation on a Sub-retinal Prosthetic System

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5638
Author(s):  
Hosung Kang ◽  
Hojong Choi ◽  
Jungsuk Kim
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Image Sensor ◽  
Experimental Results ◽  
Image Processing Technique ◽  
Cmos Process ◽  
Processing Unit ◽  
Ambient Light ◽  
Retinal Implants ◽  
Autonomous Adaptation

This paper introduces an ambient light rejection (ALR) circuit for the autonomous adaptation of a subretinal implant system. The sub-retinal implants, located beneath a bipolar cell layer, are known to have a significant advantage in spatial resolution by integrating more than a thousand pixels, compared to epi-retinal implants. However, challenges remain regarding current dispersion in high-density retinal implants, and ambient light induces pixel saturation. Thus, the technical issues of ambient light associated with a conventional image processing technique, which lead to high power consumption and area occupation, are still unresolved. Thus, it is necessary to develop a novel image-processing unit to handle ambient light, considering constraints related to power and area. In this paper, we present an ALR circuit as an image-processing unit for sub-retinal implants. We first introduced an ALR algorithm to reduce the ambient light in conventional retinal implants; next, we implemented the ALR algorithm as an application-specific integrated chip (ASIC). The ALR circuit was fabricated using a standard 0.35-μm CMOS process along with an image-sensor-based stimulator, a sensor pixel, and digital blocks. As experimental results, the ALR circuit occupies an area of 190 µm2, consumes a power of 3.2 mW and shows a maximum response time of 1.6 sec at a light intensity of 20,000 lux. The proposed ALR circuit also has a pixel loss rate of 0.3%. The experimental results show that the ALR circuit leads to a sensor pixel (SP) being autonomously adjusted, depending on the light intensity.

Process Monitoring in Automatic Assembly of Minilenses With Fiberscopes

2007 ◽  
Author(s):  
Tian Lan ◽  
Siying Chen ◽  
Guoqiang Ni
Keyword(s):  
Image Processing ◽  
Process Control ◽  
Process Monitoring ◽  
Optical Design ◽  
Experimental Results ◽  
Processing Unit ◽  
Automatic Assembly ◽  
Image Processing Algorithm ◽  
Step Size ◽  
Motion System

In this paper, we present experimental results of process monitoring and process control in automatic assembly of minilenses in front of a miniature flexible fiberscope. For the purpose of process visualization and process control, an LED light source, a grating and a micrometer screw are compacted together in a vacuum gripper. A positioning system, a fiber chuck, a mimilens magazine and a fiberscope have been installed in the system and an image processing algorithm for process control has been developed. The optical design and assembly process are presented here in details. The projection of an illuminated grating through the minilens on the fiberscope is used to position the minilens automatically by an image processing unit and the motion system. The position system has a minimum step size of 5 μm in translation and 0.01° by rotation. The repeatability of the translation stages is about ±2.5 μm. It is shown from the experimental results that the tilt axial angle between the optical axis of the minilens and the geometrical axis of the fiberscope is less than 4°.

Application of Object-Based Image Processing Technique in Printing Defect Online Detection

2015 ◽  
Vol 731 ◽  
pp. 210-213
Author(s):  
Shu Feng Liu ◽  
Shao Hong Shen
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Main Idea ◽  
Color Difference ◽  
Processing Technique ◽  
Experimental Results ◽  
Image Processing Technique ◽  
Online Detection ◽  
Multi Scale ◽  
Color Printing

In this paper ,a color printing defect automatic online detection method based on digital image processing technique is proposed. The main idea of this method is comparison of defect product and template and it makes up of following key models. Firstly, multi-scale segmentation is applied to composed image which is overlaid by detecting product and template image. Secondly, an automatic region similarity analysis calculation is taken to segmentation obtained in multi-scale segmentation. The color difference between detecting product and template can be calculated accurately. Thirdly, defect detection results can be obtained according to threshold segmentation. Finally, the characteristics and advantages are approved by experimental analysis and discussion. Algorithm parameters are adjusted and modified to improve the stability and effectiveness. Experimental results approve that color printing defect automatic detection method in this paper has the characteristics of effectiveness and applicability. And experimental results indicate that this method has the advantage of judging the defect types automatically.

scholarly journals A Soft Approach to Estimate Woody Volume of a Live Tree

2017 ◽  
Vol 10 (3) ◽  
pp. 618-623 ◽  
Author(s):  
NIKITA SINGLA ◽  
DERMINDER SINGH
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Experimental Results ◽  
Image Processing Technique ◽  
Percentage Error ◽  
Standing Tree ◽  
Individual Tree ◽  
Live Tree ◽  
Processing Techniques ◽  
Areas Of Interest

Tree volume is one of the oldest areas of interest and is a crucial task in tree management system. Estimating the woody volume of a live tree is important for economic, scientific purposes and provides a tool to researcher/grower. It provides the useful information about the commercial value of wood to the potential buyer/seller. However, manual methods are being used largely to calculate woody volume of a tree. These methods are based on different log rules, cumbersome and laborious. The present work proposed a digital image processing technique to estimate the woody volume of a live tree. The developed program successfully determines the woody volume of standing tree trunk with MATLAB image processing techniques. In this method three parameters an individual tree were extracted from digital images of the tree. Calibration factor was also calculated to make the method independent of camera distance from the tree. The method was tested on several samples of trees and compared to experimental results. The soft approach generates information about height, diameter and volume of the tree. The percentage error of height, diameter at breast height and volume of standing tree by proposed method and experimental results was found to be less than 6.65%.

A Self-Environment Adaption Model for Cross-Media Reproduction of Digital Image

2012 ◽  
Vol 262 ◽  
pp. 134-137
Author(s):  
Xiang Yang Xu ◽  
Li Jie Wang ◽  
Qiao Chen
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Display ◽  
Experimental Results ◽  
Ambient Light ◽  
Cross Media ◽  
Color Conversion

A self- environment adaption model for cross-media reproduction of digital image is presented in this paper.This model is used to color conversion, makes image adaptive display according to ambient light changes. Experimental results show that this model can be used in all kinds of image processing systems for the displaying of image, particularly suitable for handheld image display apparatus.

scholarly journals Two-Vehicle Coordination System for Omnidirectional Transportation Based on Image Processing and Deviation Prediction

2021 ◽  
Author(s):  
Huajun Song ◽  
Yanqi Wu ◽  
Yuxing Wu ◽  
Guangbing Zhou ◽  
Chunbo Luo
Keyword(s):  
Image Processing ◽  
Manufacturing Industry ◽  
Cost Effective ◽  
Image Sensor ◽  
Mobile Platform ◽  
Normal Operation ◽  
Processing Unit ◽  
Mobile Platforms ◽  
Central Processing ◽  
Omnidirectional Mobile Platform

AbstractOmnidirectional mobile platform is essential due to its excellent mobility and versatility. With the development of the manufacturing industry, how to transport oversized or overweight goods has become a new problem. Compared with manufacturing omnidirectional mobile platforms with different specifications, it is more cost-effective and flexible to coordinate two non-physically connected omnidirectional platforms to transport overweight and oversized cargo. The roughness of the actual deployment environment and the mechanical deflection between the two vehicles have a significant impact on the normal operation of the system. This paper combines mechanical wheels, image processing algorithms and collaboration algorithms to create a novel and practical split-type omnidirectional mobile platform based on image deviation prediction for transporting oversized or overweighted goods. The proposed system collects raw measurements from a distance sensor and an image sensor, transmits them to a central processing unit through a wireless communication module and calculates and predicts the relative deflection between the two vehicles based on our derived mathematical model. This information is then fed to a Kalman filter and PID control algorithm to coordinate the two vehicles. The effectiveness and performance of our system have been thoroughly tested, which has already been applied in a bullet train production line.

Calibration Empowered Minimalistic Multi-Exposure Image Processing Technique for Camera Linear Dynamic Range Extension

2020 ◽  
Vol 2020 (7) ◽  
pp. 213-1-213-7
Author(s):  
Nabeel. A. Riza ◽  
Nazim Ashraf
Keyword(s):  
Image Processing ◽  
Dynamic Range ◽  
Image Sensor ◽  
Processing Technique ◽  
Range Extension ◽  
Image Processing Technique ◽  
Linear Dynamic Range ◽  
Low Contrast ◽  
Linear Dynamic ◽  
Cmos Sensor

Proposed for the first time is a novel calibration empowered minimalistic multi-exposure image processing technique using measured sensor pixel voltage output and exposure time factor limits for robust camera linear dynamic range extension. The technique exploits the best linear response region of an overall nonlinear response image sensor to robustly recover via minimal count multi-exposure image fusion, the true and precise scaled High Dynamic Range (HDR) irradiance map. CMOS sensor-based experiments using a measured Low Dynamic Range (LDR) 44 dB linear region for the technique with a minimum of 2 multi-exposure images provides robust recovery of 78 dB HDR low contrast highly calibrated test targets.

scholarly journals CMOS Image Sensor with On-Chip Image Compression: A Review and Performance Analysis

2010 ◽  
Vol 2010 ◽  
pp. 1-17 ◽  
Author(s):  
Milin Zhang ◽  
Amine Bermak
Keyword(s):  
Image Processing ◽  
Performance Analysis ◽  
Image Compression ◽  
High Performance ◽  
Cmos Technology ◽  
Image Sensor ◽  
Processing Unit ◽  
Cmos Image Sensors ◽  
Design Paradigm ◽  
On Chip

Demand for high-resolution, low-power sensing devices with integrated image processing capabilities, especially compression capability, is increasing. CMOS technology enables the integration of image sensing and image processing, making it possible to improve the overall system performance. This paper reviews the current state of the art in CMOS image sensors featuring on-chip image compression. Firstly, typical sensing systems consisting of separate image-capturing unit and image-compression processing unit are reviewed, followed by systems that integrate focal-plane compression. The paper also provides a thorough review of a new design paradigm, in which image compression is performed during the image-capture phase prior to storage, referred to as compressive acquisition. High-performance sensor systems reported in recent years are also introduced. Performance analysis and comparison of the reported designs using different design paradigm are presented at the end.

Input of Japanese Characters by Recognizing the Number of Fingers

2004 ◽  
Vol 16 (4) ◽  
pp. 420-425
Author(s):  
Takashi Yamagishi ◽  
◽  
Kazunori Umeda ◽  
Keyword(s):  
Image Processing ◽  
Input Data ◽  
Image Sensor ◽  
Experimental Results ◽  
Range Image ◽  
Range Images ◽  
Image Information ◽  
Human Gestures

Many recent studies centered on recognizing human gestures using images for man-machine interfaces do not deal with information on Japanese or other characters. We propose inputting Japanese characters by recognizing the number of fingers of one hand. Recognized numbers are converted to characters using the “pocket-bell” rule. The number is recognized by image processing. Range images are used as image information to implement the method. We also discuss how to control recognition timing and canceling input data. Experimental results using a range image sensor show the effectiveness of the proposed methods.

scholarly journals A Digital Vision Chip for Early Feature Extraction with Rotated Template-Matching CA

2005 ◽  
Vol 17 (4) ◽  
pp. 372-377 ◽  
Author(s):  
Masayuki Ikebe ◽  
◽  
Tetsuya Asai
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
High Speed ◽  
Digital Circuit ◽  
Image Sensor ◽  
Cmos Process ◽  
Vision Chip ◽  
Cell Circuit ◽  
High Speed Image Processing ◽  
Early Features

We discuss a cellular-automata (CA) LSI core that extracts early features of objects in images, such as sizes and skeletons. A CMOS-image sensor with a CA core enables high-speed image processing. We propose an efficient CA algorithm based on rotated template matching. Each cell circuit in the proposed CA is implemented by a digital circuit, and transistors in each cell circuit number 198 in full customized design. The CA LSI consists of a large number of cell circuits operating in parallel to ensure fast, efficient object extraction as the number of cells increases. With a 0.25μm CMOS process, the total area of each cell circuit is 30×30μm². Simulation results indicated that image processing with 320×240 cells operates at up to 25MHz.

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