scholarly journals CMOS Image Sensor Dreams of Intelligent Sensors. Current Status of CMOS Image Sensors with Digital Image Processing.

1999 ◽  
Vol 53 (2) ◽  
pp. 172-177
Author(s):  
Junichi Nakamura
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Image Sensors ◽  
Current Status ◽  
Intelligent Sensors ◽  
Cmos Image Sensors

scholarly journals A CMOS voltage-mode image sensing system

2021 ◽  
Author(s):  
Jun Long Zhang
Keyword(s):  
Cmos Image Sensor ◽  
Cmos Technology ◽  
Image Sensor ◽  
Electrical Signal ◽  
Image Sensors ◽  
Analog To Digital ◽  
Light Sensing ◽  
Image Sensing ◽  
Cmos Image Sensors ◽  
Pixel Sensors

A CMOS image sensor consists of a light sensing region that converts photonic energy to an electrical signal and a peripheral circuitry that performs signal conditioning and post-processing. This project investgates the principle and design of CMOS active image sensors. The basic concepts and principle of CMOS image sensors are investigated. The advantages of CMOS image sensors over charge-coupled device (CCD) image sensors are presented. Both passive pixel sensors (PPS) and acive pixel sensors (APS) are examined in detail. The noise of CMOS image sensors is investigated and correlated double sampling (CDS) techniques are examined. The design of APS arrays, CDS circuits and 8-bit analog to-digital converters in TSMC-0.18μm 1.8V CMOS technology is presented. The simulation results and layout of the designed CMOS image sensor are presented.

scholarly journals Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 209 ◽  
Author(s):  
Ruixin Jiang ◽  
Huihuang Wu ◽  
Jianpeng Yang ◽  
Haiyan Jiang ◽  
Min Du ◽  
...  
Keyword(s):  
Image Processing ◽  
Point Of Care ◽  
Strong Stability ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Image Sensors ◽  
Oxide Semiconductor ◽  
Detection Sensitivity ◽  
Immunochromatographic Assay ◽  
Detection Range

As an emerging technology, fluorescence immunochromatographic assay (FICA) has the advantages of high sensitivity, strong stability and specificity, which is widely used in the fields of medical testing, food safety and environmental monitoring. The FICA reader based on image processing meets the needs of point-of-care testing because of its simple operation, portability and fast detection speed. However, the image gray level of common image sensors limits the detection range of the FICA reader, and high-precision image sensors are expensive, which is not conducive to the popularization of the instrument. In this paper, FICA strips’ image was collected using a common complementary metal oxide semiconductor (CMOS) image sensor and a range adjustment mechanism was established to automatically adjust the exposure time of the CMOS image sensor to achieve the effect of range expansion. The detection sensitivity showed a onefold increase, and the upper detection limit showed a twofold increase after the proposed method was implemented. In addition, in the experiments of linearity and accuracy, the fitting degree (R2) of the fitted curves both reached 0.999. Therefore, the automatic range adjustment method can obviously improve the detection range of the FICA reader based on image processing.

scholarly journals A CMOS voltage-mode image sensing system

2021 ◽  
Author(s):  
Jun Long Zhang
Keyword(s):  
Cmos Image Sensor ◽  
Cmos Technology ◽  
Image Sensor ◽  
Electrical Signal ◽  
Image Sensors ◽  
Analog To Digital ◽  
Light Sensing ◽  
Image Sensing ◽  
Cmos Image Sensors ◽  
Pixel Sensors

A CMOS image sensor consists of a light sensing region that converts photonic energy to an electrical signal and a peripheral circuitry that performs signal conditioning and post-processing. This project investgates the principle and design of CMOS active image sensors. The basic concepts and principle of CMOS image sensors are investigated. The advantages of CMOS image sensors over charge-coupled device (CCD) image sensors are presented. Both passive pixel sensors (PPS) and acive pixel sensors (APS) are examined in detail. The noise of CMOS image sensors is investigated and correlated double sampling (CDS) techniques are examined. The design of APS arrays, CDS circuits and 8-bit analog to-digital converters in TSMC-0.18μm 1.8V CMOS technology is presented. The simulation results and layout of the designed CMOS image sensor are presented.

Work Piece Length Measure System Based on Image

2011 ◽  
Vol 301-303 ◽  
pp. 1066-1071
Author(s):  
Ke Mei Sun ◽  
Chun He Yu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Sensor ◽  
Recognition Algorithm ◽  
Processing Technology ◽  
Work Piece ◽  
Length Measure ◽  
Image Processing Technology

Corporation work piece length measure system based on digital image processing technology. CCD vidicon is used as the image capture equipment. Image signal are converted into 8 bits digital code stream by CMOS image sensor chip OV9650. DSP chip of TI is used as the core of image processing in the scheme. Peripheral SDRAM are expanded through peripheral bus to save the large amounts of temporary data in data processing to reduce the time for image processing. Median filtering is adopted in image enhance of the object image. The length of rectangle work piece can be measured in the distance by untouched way by improved edge recognition algorithm in real time. The measurement result is displayed by LCD. Meanwhile the measure system communicates with PC through communication interface. It has been proved that the system can guarantee real-time and high accurate. It’s a typical instance of DSP and digital image processing technology used in industry.

An overview of the application of image processing technology for yarn hairiness evaluation

2016 ◽  
Vol 20 (1) ◽  
pp. 24-36 ◽  
Author(s):  
Guohong Zhang ◽  
Binjie Xin
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Objective Evaluation ◽  
Processing Technology ◽  
Detection Methods ◽  
Current Status ◽  
Content Type ◽  
Image Processing Technology ◽  
Yarn Hairiness

Purpose This paper aims to overview the current status of development and application of digital image processing technology used for the yarn hairiness evaluation. Design/methodology/approach Digital image processing technology is one of the new methods used for the yarn detection, which can be used for the digital characterization and objective evaluation of yarn appearance. The comparison between the traditional detection methods and this new developed method was made and analyzed. Findings Compared with the traditional methods, image-based methods have the advantages of being objective, fast and accurate. Therefore, it was proved that digital image processing techniques should be a new trend in terms of the yarn appearance evaluation.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

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