System and algorithm design for a new generation tree-ring image analysis system

2008 ◽  
Vol 47 (2) ◽  
pp. 027003 ◽  
Author(s):  
Martin A. R. Munro
Keyword(s):  
Image Analysis ◽  
Tree Ring ◽  
Algorithm Design ◽  
Image Analysis System ◽  
Analysis System ◽  
New Generation

An image analysis system for determining densitometric and ring-width time series

1991 ◽  
Vol 21 (10) ◽  
pp. 1544-1549 ◽  
Author(s):  
Roy D. Thetford ◽  
Rosanne D. D'Arrigo ◽  
Gordon C. Jacoby
Keyword(s):  
Time Series ◽  
Image Analysis ◽  
Tree Ring ◽  
Ring Width ◽  
Analysis Data ◽  
Image Analysis System ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Angle Variation ◽  
Analysis System

A new interactive image analysis method for determining tree-ring density and width data for dendrochronological studies is described. The method employs the Prism Image Analysis System (from Dapple Systems, Inc.) for Apple Macintosh microcomputers and uses additional FORTRAN software (program MACDRUID) developed for tree-ring applications. The principal advantages of this system are (i) interactive image analysis, which substitutes computer software for the complex scanning densitometer operations used in previous systems and (ii) high resolution, which is necessary for processing the narrow-ringed, stressed trees often sampled in dendroclimatology. Other advantages are real-time editing, ease of adjustment for angle variation of ring boundaries, and the ability to append individual frame data into homogeneous time series. Comparisons of ring-width and density data determined by this image analysis system with similar measurements derived from other methods indicate that the image analysis data are of equal precision and quality for use in dendrochronological studies. In addition to applications in the fields of dendrochronology and wood science, this image analysis method is applicable for analyzing variations in cyclical banding in other types of geological samples, such as sediment laminae (e.g., varves) and corals.

Chemical Classification and Particle Sizing of Foundry Sands

1985 ◽  
Vol 43 ◽  
pp. 388-389
Author(s):  
D.S. DeMiglio
Keyword(s):  
Image Analysis ◽  
Energy Dispersive Spectrometer ◽  
Image Analysis System ◽  
Representative Sampling ◽  
Foundry Sands ◽  
Large Atomic Number ◽  
Backscattered Electron ◽  
Sand Particles ◽  
Analysis System ◽  
Reclamation System

Much progress has been made in recent years towards the development of closed-loop foundry sand reclamation systems. However, virtually all work to date has determined the effectiveness of these systems to remove surface clay and metal oxide scales by a qualitative inspection of a representative sampling of sand particles. In this investigation, particles from a series of foundry sands were sized and chemically classified by a Lemont image analysis system (which was interfaced with an SEM and an X-ray energy dispersive spectrometer) in order to statistically document the effectiveness of a reclamation system developed by The Pangborn Company - a subsidiary of SOHIO.The following samples were submitted: unreclaimed sand; calcined sand; calcined & mechanically scrubbed sand and unused sand. Prior to analysis, each sample was sprinkled onto a carbon mount and coated with an evaporated film of carbon. A backscattered electron photomicrograph of a field of scale-covered particles is shown in Figure 1. Due to a large atomic number difference between sand particles and the carbon mount, the backscattered electron signal was used for image analysis since it had a uniform contrast over the shape of each particle.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

Application of Image Analysis System for Study of Activated Sludge Flocs

1986 ◽  
Vol 21 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Da-hong Li ◽  
J. J. Ganczarczyk
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Statistical Processing ◽  
Equivalent Diameter ◽  
Image Analysis System ◽  
Sectional Area ◽  
Cross Sectional ◽  
Computerized Image Analysis ◽  
Sludge Flocs ◽  
Analysis System

Abstract The computerized image analysis system has been successfully used for determination and statistical processing of the following geometric characteristics of activated sludge flocs: longest dimension, breadth, equivalent diameter, cross-sectional area, perimeter, elongation, and circularity. These parameters could be effectively and precisely determined by the system applied. In addition, the studied method, as compared to direct microscope observation and photography floc-sizing methods, was found to be more accurate, less time-consuming, and less dependent on the investigators.

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