Image-processing analysis object measurement

Independently on the way of image acquisition, the image-processing analysis consists of the following five steps image acquisition, preprocessing, segmentation, object measurement, and classification. 

An appropriate combined use of molecular chemical information (NIR) and morphological measurements in macroscopic images (e.g., shape, optical texture, size) can enable the analysis of further complicated systems. This is particularly relevant when objects composed of different color-same compartments are being processed (e.g., meat slices), or when the product is composed of heterogeneous pieces within a bulk, such as animal feed. 

The results obtained from the indirect methods are often controversial, because actually it is not a pore system that is examined but rather the processes applied in these methods the results reflect only the pore size distribution response. Any established value of pore diameter has only conventional meaning and may be different than diameters obtained from other methods. The indirect methods more or less influence the object of observation and measurements because the interventions disrupt material structure. Determining of distribution of pore diameters in cement paste is performed by the mercury porosimetry method and the results are partly confirmed by observations and counting the pores by computer image analysis, but mercury intrusion may damage and alter the material microstructure. Furthermore, the intrusion of mercury into a pore is related to the orifice of the pore rather than to its real dimension (Diamond 2000). Other methods, like capillary condensation, give considerably different values. 

---