Static image analysis

ISO 133322-1 2004 Image Analysis Methods—Part I Static image analysis methods. 2004, ISO 1-39. 

Particle size analysis - Photon correlation spectroscopy Particle size analysis - Image Analysis methods - Part 1 Static image analysis methods (in preparation) Particle size analysis - Image Analysis methods - Part 2 Dynamic image analysis methods (in preparation)... 

A.P. Tinke, A. Camicer, R. Govoreanu, G. Scheltjens, L. Lauwerysen, N. Mertens, Particle shape and orientation in laser difEraction and static image analysis. Powder Technol. 186(2), 154-167... 

S. Muerza, H. Berthiaux, S. Massol-Chaudeur, G. Thomas, A dynamic study of static mixing using on-line image analysis, Powder Technol. 128 (2002) 195-204. 

FIG. 21-11 Setup of static (left) and dynamic (right) image analysis for particle characterization. 

Which type of primary ion source can provide better static SIMS analysis Why do we not recommend using the smallest diameter of a primary beam for ToF SIMS imaging ... 

In semiquantitative methods, static images are utilized as in visual assessment to determine the tissue activity and compare the relative tumor uptake. One method uses an index, the tumor-to-normal tissue activity ratio (T/N), using data from the normal and tumor regions on the reconstructed images. The ratios are independent of the administered dosage, patient s weight or blood glucose level. The T/N ratio assessment is somewhat similar to visual assessment. The choice of an appropriate normal reference site, particularly in the abdomen and pelvic area, is critical in this analysis. 

SFM methodologies have been applied predominantly as static imaging and analysis techniques in polymer science and technology. However, recently the potential of the approaches for real-time studies, in particular for the investigation of phase transitions, has been realized. Owing to great importance of an improved fundamental understanding of crystallization and crystallinity in semicrystalline polymers, this section deals with this topic in more detail than the other real-time applications of SFM in the field of polymers. 

The first case is simple static-scene analysis. In many applications, processing a single image to obtain the required information may be feasible. However, many more appHcations exist that require information to... 

Clearly, a sequence of image frames offers much more information to aid in scene understanding, but significantly increases the amount of data to be processed by the system. Applying static-scene analysis techniques to each frame of a sequence requires an enormous amount of computation, while still suffering from all of the problems of static-scene analysis. Fortunately, research in dynamic-scene analysis has shown that information recovery may be easier in dynamic scenes than in static scenes. In some cases, the total computational effort maybe significantly less and the performance is better. 

A typical static sessile drop is created by a microsyringe with an automated plunger to place a tiny drop of water on the polymer surface. Ideally, the polymer sample should be in a humidity chamber to minimize the water evaporation that would change the shape, and thus the C A of the droplet. The shape of the droplet is captured by a camera and CA is measured by an image analysis software [30]. 

Measurement of the head-space pressure with time in a closed thermostated chamber enables the area decay of the foam to be calculated. The stability of static foam can also be determined from the rate at which the total area of liquid lamellae disappears. This can be measured photographically or by using digital image analysis. The interfacial area can be determined by monitoring the pressure, external to the foam in a container of constant volume and constant temperature, if the total volume of the system and the surface tension of the foamed liquid are known. 

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