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.

Diagnosis of cutaneous melanoma: accuracy of a computerized image analysis system (Skin View)

1997 ◽  
Vol 3 (1) ◽  
pp. 23-27 ◽  
Author(s):  
M. Cristofolini ◽  
P. Bauer ◽  
S. Boi ◽  
P. Cristofolini ◽  
R. Micciolo ◽  
...  
Keyword(s):  
Image Analysis ◽  
Cutaneous Melanoma ◽  
Image Analysis System ◽  
Computerized Image Analysis ◽  
Analysis System

A sensor for the secondary clarifier based on image analysis

1996 ◽  
Vol 33 (1) ◽  
pp. 61-70 ◽  
Author(s):  
K. Grijspeerdt ◽  
W. Verstraete
Keyword(s):  
Mathematical Model ◽  
Image Analysis ◽  
Concentration Profile ◽  
Image Analysis System ◽  
One Dimensional ◽  
Sludge Flocs ◽  
Secondary Clarifier ◽  
Flow Through ◽  
Analysis System ◽  
Suitable Process

The outline of a novel sensor for the secondary clarifier based on the combination of in-line sensor principles and image analysis is presented. The sensor consists of a model secondary clarifier of 10 litres from which samples can be taken at different heights, running parallel with the full-scale plant. These samples are examined in an image analysis system, incorporating a flow through cell, a microscope and specific hardware. The measurements that can be obtained with this apparatus are multifarious: a one-dimensional concentration profile (and a fortiori the sludge blanket height) and the morphology and size distribution of the sludge flocs. Results show that it is possible to characterize the settling properties of the sludge automatically. Furthermore, the information is extended by using a mathematical model to describe the concentration profile. Lab-scale tests demonstrate that the information obtained could be uses to optimize the operation of the plant through suitable process control.

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