Algorithm of sheep body dimension measurement and its applications based on image analysis

2018 ◽  
Vol 153 ◽  
pp. 33-45 ◽  
Author(s):  
A. Lina Zhang ◽  
B. Pei Wu ◽  
C. Tana Wuyun ◽  
D. Xinhua Jiang ◽  
E. Chuanzhong Xuan ◽  
...  
Keyword(s):  
Image Analysis ◽  
Body Dimension ◽  
Dimension Measurement

scholarly journals Development of a Body Dimension Measurement Method for Dairy Cattle by Computer Image Analysis with Video Camera

1996 ◽  
Vol 67 (10) ◽  
pp. 878-881
Author(s):  
Keigo KUCHIDA ◽  
Shino HAMAYA ◽  
Yusuke SAITO ◽  
Mitsuyoshi SUZUKI ◽  
Shunzo MIYOSHI
Keyword(s):  
Image Analysis ◽  
Dairy Cattle ◽  
Computer Image ◽  
Measurement Method ◽  
Video Camera ◽  
Body Dimension ◽  
Computer Image Analysis ◽  
Dimension Measurement

Limitations of a 3-D Image Analysis-Based Particle Size Measuring System for Wood Particle Dimension Measurement

2018 ◽  
Vol 50 (3) ◽  
pp. 358-362
Author(s):  
Jan T Benthien ◽  
Jan Ludtke ◽  
Rainer Friehmelt ◽  
Michael Schafer
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Wood Particle ◽  
Measuring System ◽  
Dimension Measurement ◽  
Particle Dimension

scholarly journals Dimensi Tubuh Sapi Friesian Holstein dan Limousin Betina Berdasarkan Morfometrik dengan Citra Digital

2019 ◽  
Vol 7 (2) ◽  
pp. 47-56
Author(s):  
A. Hakim ◽  
H. Nuraini ◽  
R. Priyanto ◽  
T. Harsi
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Linear Measurement ◽  
The Body ◽  
Morphometric Study ◽  
Body Measurement ◽  
Body Dimension ◽  
Frame Size ◽  
Lower Body Weight

Digital image analysis have been applied to determine and follow the body measurement, live weights, and animal growth. The objectives on this study were to compare linear body measurement (BMs) method (manually and digital image analysis) and to compare size and body dimension of Friesian Holstein (FH) and Limousin cows. In this study, the BMs of FH and Limousin cows was determined using digital image analysis (IA). Linear measurement of primary morphometrics, part of Columna vertebralis, and extrimity length of cows was first determined manually, by direct measurement. Then the digital images of cows were taken and the results obtained through the calculations were recorded into the computer and analized by Corel draw. Result showed that the BMs with both methods measurement was not significant different and IA method had lower coefficient variation (CV) than manual, which indicates the IA method can be used for morphometric study. For the body dimension, FH had larger frame size and lower body weight than Limousin. The different of breed caused differences in morphometric performances. FH had longer thoraxoc vertebrae, wither height, space between ischium, and space coxae to ischium than Limousin. Limousin had longer cervicalis vertebrae, sacral vertebrae, and scapulla.

Dimension Measurement and Fissuring of Rice Kernels During Moisture Sorption by Image Analysis

2006 ◽  
Author(s):  
Naoto SHIMIZU ◽  
M. A. HAQUE ◽  
M. ANDERSSON ◽  
Toshinori KIMURA
Keyword(s):  
Image Analysis ◽  
Moisture Sorption ◽  
Dimension Measurement

scholarly journals Non-Contact Body Measurement for Qinchuan Cattle with LiDAR Sensor

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3014 ◽  
Author(s):  
Lvwen Huang ◽  
Shuqin Li ◽  
Anqi Zhu ◽  
Xinyun Fan ◽  
Chenyang Zhang ◽  
...  
Keyword(s):  
Stress Responses ◽  
Three Dimensional ◽  
The Body ◽  
Data Series ◽  
Reconstruction Method ◽  
Body Measurement ◽  
Body Dimension ◽  
Qinchuan Cattle ◽  
Dimension Measurement ◽  
Voxel Grid

The body dimension measurement of large animals plays a significant role in quality improvement and genetic breeding, and the non-contact measurements by computer vision-based remote sensing could represent great progress in the case of dangerous stress responses and time-costing manual measurements. This paper presents a novel approach for three-dimensional digital modeling of live adult Qinchuan cattle for body size measurement. On the basis of capturing the original point data series of live cattle by a Light Detection and Ranging (LiDAR) sensor, the conditional, statistical outliers and voxel grid filtering methods are fused to cancel the background and outliers. After the segmentation of K-means clustering extraction and the RANdom SAmple Consensus (RANSAC) algorithm, the Fast Point Feature Histogram (FPFH) is put forward to get the cattle data automatically. The cattle surface is reconstructed to get the 3D cattle model using fast Iterative Closest Point (ICP) matching with Bi-directional Random K-D Trees and a Greedy Projection Triangulation (GPT) reconstruction method by which the feature points of cattle silhouettes could be clicked and calculated. Finally, the five body parameters (withers height, chest depth, back height, body length, and waist height) are measured in the field and verified within an accuracy of 2 mm and an error close to 2%. The experimental results show that this approach could be considered as a new feasible method towards the non-contact body measurement for large physique livestock.

scholarly journals Report on the standardization of body dimension measurement

1970 ◽  
Vol 6 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Study Group for Somatometry, J. E.
Keyword(s):  
Body Dimension ◽  
Dimension Measurement

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

1977 ◽  
Vol 35 ◽  
pp. 214-217
Author(s):  
F. A. Heckman ◽  
E. Redman ◽  
J.E. Connolly
Keyword(s):  
Image Analysis ◽  
Image Quality ◽  
Exposure Time ◽  
Image Contrast ◽  
Automated Image Analysis ◽  
Practical Application ◽  
Factors Affecting ◽  
High Image Quality ◽  
Qualitative Evidence ◽  
Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

A New System For Optomanual Semiautomatic Quantitative Image Analysis

1977 ◽  
Vol 35 ◽  
pp. 210-211
Author(s):  
H.P. Rohr
Keyword(s):  
Image Analysis ◽  
Volume Density ◽  
List Type ◽  
Distribution Analysis ◽  
Type Number ◽  
Point Counting ◽  
Human Eye ◽  
Quantitative Image ◽  
Point Density ◽  
Electronic Counting

Today, in image analysis the broadest possible rationalization and economization have become desirable. Basically, there are two approaches for image analysis: The image analysis through the so-called scanning methods which are usually performed without the human eye and the systems of optical semiautomatic analysis completely relying on the human eye.The new MOP AM 01 opto-manual system (fig.) represents one of the very promising approaches in this field. The instrument consists of an electronic counting and storing unit, which incorporates a microprocessor and a keyboard for choice of measuring parameters, well designed for easy use.Using the MOP AM 01 there are three possibilities of image analysis:the manual point counting,the opto-manual point counting andthe measurement of absolute areas and/or length (size distribution analysis included).To determine a point density for the calculation of the corresponding volume density the intercepts lying within the structure are scanned with the light pen.

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