A Low-cost Image Processing Based Technique to Estimate Chlorophyll in Winter Wheat

2019 ◽  
Author(s):  
Sree Nirmillo Biswash Tushar ◽  
Tapos Pal ◽  
Sree Sourav Das ◽  
Md Mehedi Imam ◽  
Mohammad Istiaque Reja
Keyword(s):  
Image Processing ◽  
Winter Wheat ◽  
Low Cost

Developing an Inkjet Printer I: RGB Image to CMY Ink Amounts - Image Processing and Color Management

2020 ◽  
Vol 2020 (15) ◽  
pp. 350-1-350-10
Author(s):  
Yin Wang ◽  
Baekdu Choi ◽  
Davi He ◽  
Zillion Lin ◽  
George Chiu ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Experimental Results ◽  
Color Management ◽  
Finger Nail ◽  
Inkjet Printer ◽  
Rgb Image ◽  
Novel Algorithm

In this paper, we will introduce a novel low-cost, small size, portable nail printer. The usage of this system is to print any desired pattern on a finger nail in just a few minutes. The detailed pre-processing procedures will be described in this paper. These include image processing to find the correct printing zone, and color management to match the patterns’ color. In each phase, a novel algorithm will be introduced to refine the result. The paper will state the mathematical principles behind each phase, and show the experimental results, which illustrate the algorithms’ capabilities to handle the task.

The influence of straw quality and level of concentrate in a completely mixed diet on intake and growth rate in steers

1988 ◽  
Vol 1988 ◽  
pp. 58-58
Author(s):  
M. Kay ◽  
G. W. Reid ◽  
E. R. Orskov
Keyword(s):  
Winter Wheat ◽  
Previous Experiment ◽  
Low Cost ◽  
Spring Barley ◽  
High Rate ◽  
Finishing Cattle ◽  
Complete Diet ◽  
Beet Pulp ◽  
Straw Quality ◽  
Ad Libitum

Results from a previous experiment with growing steers showed that straw from varieties of winter and spring barley or winter wheat supported different intakes and rates of gain. It was possible to identify those cereal straws most suitable for inclusion in low cost diets for beef cattle. The object of this work was to assess whether complete diets containing a minimum of 35% “good” straw could sustain a high rate of gain in finishing cattle. The trial used 45 Hereford cross steers that weighed 360 kg at the start. There were three types of straw examined; straw from the spring barley variety Corgi, untreated (UC) and ammonia treated (AC) together with ammonia treated winter wheat (AW) cv. Longbow;. Each straw type was included in a complete diet containing either 0.35 (L), 0.45 (M) or 0.55 (H) straw. Ammonia treatment was carried out in an oven with 0.03 anhydrous ammonia for 24 hours. The straw was processed through a tub grinder and the chopped material was transferred to a mixer wagon for diet preparation. All the diets contained fishmeal and urea and equal proportions of rolled barley and molassed sugar beet pulp substituted for the straw. The complete diets were offered ad libitum and the steers were weighed fortnightly until they were estimated to provide carcasses in MLC fat class 4L. Digestibility data for each diet was derived in a subsidary trial using cattle fed ad libitum. The digestibility coefficients for D11 were 0.67 UC; 0.68 AW; 0.69 AC and 0.66 H; 0.68 M; 0.70 L (S.E.D. ± 0.66).

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Composite Structures ◽  
Large Scale ◽  
Low Cost ◽  
High Quality ◽  
Detection Technology ◽  
Gap Measurement ◽  
Automatic Placement ◽  
On Line

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

scholarly journals Survey of Slum Housing Characteristics Using Drones: An Experiment in the Alto das Pombas Community, Salvador de Bahia/Brazil

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Joice Genaro Gomes ◽  
Julio Cesar Pedrassoli
Keyword(s):  
Image Processing ◽  
Technical Assistance ◽  
Low Cost ◽  
Physical Characteristics ◽  
Health Improvement ◽  
Housing Characteristics ◽  
Data Extracting ◽  
Slum Housing

Abstract Since the approval of the Brazilian Federal Technical Assistance Law, whose objective is to guarantee adequate technical assistance to the residents of poor areas to improve their homes, several municipalities have implemented programs, not always successful, to improve housing in slums. Aiming to subsidize these programs implementation workflow, the present paper analyses use of drones as a tool to gather information about the physical characteristics slum households in Salvador de Bahia city, Brazil. As an experiment we flight over a single census sector within the Alto das Pombas slum, and after image processing we extracted and organized the collected data, extracting the possible information that could be applied to identify and quantify the most precarious houses that could be prioritized from a health improvement perspective. We conclude that many of the necessary data needed, on the urbanistic scale in Brazilian slums, can benefit from drone photogrammetry at low cost and fast execution.

Marker-guided auto-landing on a moving platform

2017 ◽  
Vol 5 (1) ◽  
pp. 28-42 ◽  
Author(s):  
Iryna Borshchova ◽  
Siu O’Young
Keyword(s):  
Image Processing ◽  
Visual Servoing ◽  
Low Cost ◽  
Field Tests ◽  
Processing Algorithm ◽  
Prototype System ◽  
Image Processing Algorithm ◽  
Suggested Approach ◽  
Content Type ◽  
Moving Platform

Purpose The purpose of this paper is to develop a method for a vision-based automatic landing of a multi-rotor unmanned aerial vehicle (UAV) on a moving platform. The landing system must be highly accurate and meet the size, weigh, and power restrictions of a small UAV. Design/methodology/approach The vision-based landing system consists of a pattern of red markers placed on a moving target, an image processing algorithm for pattern detection, and a servo-control for tracking. The suggested approach uses a color-based object detection and image-based visual servoing. Findings The developed prototype system has demonstrated the capability of landing within 25 cm of the desired point of touchdown. This auto-landing system is small (100×100 mm), light-weight (100 g), and consumes little power (under 2 W). Originality/value The novelty and the main contribution of the suggested approach are a creative combination of work in two fields: image processing and controls as applied to the UAV landing. The developed image processing algorithm has low complexity as compared to other known methods, which allows its implementation on general-purpose low-cost hardware. The theoretical design has been verified systematically via simulations and then outdoors field tests.

Low-Cost Interactive Image Processing.

1972 ◽  
Author(s):  
Emily G. Johnston ◽  
Azriel Rosenfeld
Keyword(s):  
Image Processing ◽  
Low Cost

Image Processing for Solar Cell Analysis, Diagnostics and Quality Assurance Inspection

2013 ◽  
pp. 338-375
Author(s):  
Michael G. Mauk
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Quality Assurance ◽  
Solar Cell ◽  
Process Development ◽  
Low Cost ◽  
Scale Up ◽  
Image Capturing ◽  
Infrared Cameras ◽  
Primary Focus

Image capturing, processing, and analysis have numerous uses in solar cell research, device and process development and characterization, process control, and quality assurance and inspection. Solar cell image processing is expanding due to the increasing performance (resolution, sensitivity, spectral range) and low-cost of commercial CCD and infrared cameras. Methods and applications are discussed, with primary focus on monocrystalline and polycrystalline silicon solar cells using visible and infrared (thermography) wavelengths. The most prominent applications relate to mapping of minority carrier lifetime, shunts, and defects in solar cell wafers, in various stages of the manufacturing process. Other applications include measurements of surface texture and reflectivity, surface cleanliness, integrity of metallization lines, uniformity of coatings, and crystallographic texture and grain size. Image processing offers the capability to assess large-areas (> 100 cm2) with a non-contact, fast (~ 1 second), and modest cost. The challenge is to quantify and interpret the image data in order to better inform device design, process engineering, and quality control. Many promising solar cell technologies fail in the transition from laboratory to factory due to issues related to scale-up in area and manufacturing throughput. Image analysis provides an effective method to assess areal uniformity, device-to-device reproducibility, and defect densities. More integration of image analysis from research devices to field testing of modules will continue as the photovoltaics industry matures.

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