On the Specification of Coding Principles for Visual Image Processing

Because most of the traditional artistic visual image communication methods use the form of modeling and calculation, there are some problems such as long image processing time, low success rate of image visual communication, and poor visual effect. An artistic visual image communication method based on Cartesian genetic programming is proposed. The visual expression sensitivity difference method is introduced to process the image data, the neural network is used to identify the characteristics of the artistic visual image, the midpoint displacement method is used to remove the folds of the artistic visual image, and the processed image is formed under the above three links. The Cartesian genetic programming algorithm is used to encode the preprocessed image, improve the fitness function, select the algorithm to improve the operation, design the image rendering platform, input the processed image to the platform, and complete the artistic visual image transmission. The analysis of the experimental results shows that the image processing time of this method is short, the success rate of visual communication is high, and the image visual effect is good, which can obtain the image processing results satisfactory to users.

Download Full-text

Imaging technologies to study the composition of live pigs: A review

Spanish Journal of Agricultural Research ◽

10.5424/sjar/2016143-8439 ◽

2016 ◽

Vol 14 (3) ◽

pp. e06R01 ◽

Cited By ~ 4

Author(s):

Anna Carabús ◽

Marina Gispert ◽

Maria Font-i-Furnols

Keyword(s):

Magnetic Resonance Imaging ◽

Computed Tomography ◽

Image Processing ◽

Magnetic Resonance ◽

Visual Image ◽

Dual Energy ◽

Resonance Imaging ◽

Processing Technologies ◽

X Ray ◽

Advantages And Disadvantages

Image techniques are increasingly being applied to livestock animals. This paper overviews recent advances in image processing analysis for live pigs, including ultrasound, visual image analysis by monitoring, dual-energy X-ray absorptiometry, magnetic resonance imaging and computed tomography. The methodology for live pigs evaluation, advantages and disadvantages of different devices, the variables and measurements analysed, the predictions obtained using these measurements and their accuracy are discussed in the present paper. Utilities of these technologies for livestock purposes are also reviewed. Computed tomography and magnetic resonance imaging yield useful results for the estimation of the amount of fat and lean mass either in live pigs or in carcasses. Ultrasound is not sufficiently accurate when high precision in estimating pig body composition is necessary but can provide useful information in agriculture to classify pigs for breeding purposes or before slaughter. Improvements in factors, such as the speed of scanning, cost and image accuracy and processing, would advance the application of image processing technologies in livestock animals.

Download Full-text

Research on Laser Ultrasonic Visual Image Processing

Chinese Journal of Lasers ◽

10.3788/cjl201845.0104004 ◽

2018 ◽

Vol 45 (1) ◽

pp. 0104004

Author(s):

朱洪玲 Zhu Hongling ◽

刘畅 Liu Chang ◽

张博 Zhang Bo ◽

蔡桂喜 Cai Guixi

Keyword(s):

Image Processing ◽

Visual Image ◽

Laser Ultrasonic

Download Full-text

ARTIFICIAL VISION FOR THE BLIND: A BIO-INSPIRED ALGORITHM FOR OBJECTS AND OBSTACLES DETECTION

International Journal of Image and Graphics ◽

10.1142/s0219467810003871 ◽

2010 ◽

Vol 10 (04) ◽

pp. 531-544 ◽

Cited By ~ 9

Author(s):

FLORIAN DRAMAS ◽

SIMON J. THORPE ◽

CHRISTOPHE JOUFFRAIS

Keyword(s):

Image Processing ◽

Sensory Modality ◽

Three Dimensional ◽

Processing System ◽

Visual Image ◽

Artificial Vision ◽

Image Processing Algorithm ◽

Essential Information ◽

Time Calculation ◽

Current Systems

Although artificial vision systems could potentially provide very useful input to assistive devices for blind people, such devices are rarely used outside of laboratory experiments. Many current systems attempt to reproduce the visual image via an alternative sensory modality (often auditory or somatosensory), but this dominant "scoreboard" approach, is often difficult to interpret for the user. Here, we propose to offload the recognition problem onto a separate image processing system that then provides the user with just the essential information about the location of objects in the surrounding environment. Specifically, we show that a bio-inspired image processing algorithm (SpikeNet) can not only robustly, precisely, and rapidly recognize and locate key objects in the image, but also in space if the objects are in a stereoscopic field of view. In addition, the bio-inspired algorithm allows real-time calculation of optic flow. We hence propose that this system, coupled with a restitution interface allowing localization in space (i.e. three-dimensional virtual sounds synthesis) can be used to restore essential visuomotor behaviors such as grasping desired objects and navigating (finding directions, avoiding obstacles) in unknown environments.

Download Full-text