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.

Color Features and Color Spaces Applications to the Automatic Image Annotation

Biometrics ◽  
2017 ◽  
pp. 1061-1083
Author(s):  
Vafa Maihami ◽  
Farzin Yaghmaee
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Annotation ◽  
Color Histogram ◽  
Experimental Results ◽  
Automatic Image Annotation ◽  
Color Spaces ◽  
Color Features ◽  
Different Color ◽  
Color Moment

Nowadays images play a crucial role in different fields such as medicine, advertisement, education and entertainment. Describing images content and retrieving them are important fields in image processing. Automatic image annotation is a process which produces words from a digital image based on the content of this the image by using a computer. In this chapter, after an introduction to neighbor voting algorithm for image annotation, we discuss the applicability of color features and color spaces in automatic image annotation. We discuss the applicability of three color features (color histogram, color moment and color Autocorrelogram) and three color spaces (RGB, HSI and YCbCr) in image annotation. Experimental results, using Corel5k benchmark annotated images dataset, demonstrate that using different color spaces and color features helps to select the best color features and spaces in image annotation area.

Air Quality Evaluation Based on Local Normalized Image Contrast

2014 ◽  
Vol 511-512 ◽  
pp. 413-416 ◽  
Author(s):  
Wen Ming Yang ◽  
Xiang Chen ◽  
Qing Min Liao
Keyword(s):  
Image Processing ◽  
Air Quality ◽  
Digital Image ◽  
Quality Evaluation ◽  
Image Contrast ◽  
Experimental Results ◽  
Image Blurring ◽  
Pm2.5 And Pm10

Air quality has been paid increasingly attention, and air quality evaluation via digital image technology can help people know the air quality conveniently. Visible pollutants can affect the degree of image blurring, so it is possible to evaluate the density of these pollutants using image processing. We adopt a local normalized image contrast and attempt to explore its relationship with the values of PM2.5 and PM10. Experimental results demonstrate the proposed measure is promising.

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.

The Algorithm to Measure Crack Width with Incircle

2013 ◽  
Vol 684 ◽  
pp. 481-485 ◽  
Author(s):  
Bao Zhen Ge ◽  
Qi Jun Luo ◽  
Bin Ma ◽  
Yong Jie Wei ◽  
Bo Chen ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Crack Width ◽  
Experimental Results ◽  
Average Width ◽  
Center Of A Group ◽  
Major Defect ◽  
Skeleton Point

Crack is a major defect of buildings. Digital image methods are often used to detect cracks. But incorrect or un-unique results may be inverted with an inappropriate algorithm. An image processing way is presented to obtain the sole width value. Meanwhile, the crack with several branches can be measured. In the processing, the crack skeleton is first calculated. Then each of the points on the skeleton is served as a center of a group of circles, one by one. The radius of the circles is increased step by step. The iterations will not stop until any point in the circle goes out of the crack. Thus the last circle in the iteration is served as an incircle of the crack. The diameter of the incircle is a crack width in a given skeleton point. The maximal and average width of the crack will be calculated after all the incircles with all the skeleton point are traversed. The experimental results show the proposed method can extract the width of cracks in a complex context.

Color Features and Color Spaces Applications to the Automatic Image Annotation

2016 ◽  
pp. 378-400 ◽  
Author(s):  
Vafa Maihami ◽  
Farzin Yaghmaee
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Annotation ◽  
Color Histogram ◽  
Experimental Results ◽  
Automatic Image Annotation ◽  
Color Spaces ◽  
Color Features ◽  
Different Color ◽  
Color Moment

Nowadays images play a crucial role in different fields such as medicine, advertisement, education and entertainment. Describing images content and retrieving them are important fields in image processing. Automatic image annotation is a process which produces words from a digital image based on the content of this the image by using a computer. In this chapter, after an introduction to neighbor voting algorithm for image annotation, we discuss the applicability of color features and color spaces in automatic image annotation. We discuss the applicability of three color features (color histogram, color moment and color Autocorrelogram) and three color spaces (RGB, HSI and YCbCr) in image annotation. Experimental results, using Corel5k benchmark annotated images dataset, demonstrate that using different color spaces and color features helps to select the best color features and spaces in image annotation area.

Local Statistic Enhancement of Digital Image Based on Genetic Algorithm

2013 ◽  
Vol 427-429 ◽  
pp. 1836-1840 ◽  
Author(s):  
Yong Zhuo Wu ◽  
Zhen Tu ◽  
Lei Liu
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Experimental Results ◽  
Computer Application ◽  
Novel Method ◽  
New Research

Iamge repair using the digital image processing technology has become a new research point in computer application. A novel method of local statistic enhancement based on genetic algorithm is proposed in this paper for the image enhancement. The modified amplified function are used as the jugement criterion, and the optimal paremeters are searched by the genetic algorithm. Experimental results show that the quality of images is improved dramatically by using this method.

scholarly journals Mobile Application Detection of Road Damage using Canny Algorithm

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Janner Simarmata ◽  
Robbi Rahim
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Image ◽  
Mobile Application ◽  
Experimental Results ◽  
Threshold Function ◽  
The Road ◽  
Canny Algorithm ◽  
Crack Paths

Edge detection is one of the most frequent processes in digital image processing for various purposes, one of which is detecting road damage based on crack paths that can be checked using a Canny algorithm. This paper proposed a mobile application to detect cracks in the road and with customized threshold function in the requests to produce useful and accurate edge detection. The experimental results show that the use of threshold function in a canny algorithm can detect better damage in the road.

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.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

Sign in / Sign up

Export Citation Format

Share Document