Image-processing analysis classification

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. 

T. Chang and C. Kuo, Texture analysis and classification with treestructured wavelet transform, IEEE Trans. Image Processing, vol. 2, pp. 429-441, Oct. 1993. 

See also Chapter 7.) As explained in section 2.3.3, data from a series of mid-IR spectra recorded from consecutive, contiguous, masked or selected regions of a sample may be processed to produce, for example, a species concentration map of the sample area. This map may be based on such as relative absorbance band intensity, an absorbance band ratio, a principal component (PC) derived from a multivariate analysis routine, or a cluster from a classification analysis. The map may be presented as a grey-scale image or a false-colour image based on such as an intensity difference or species type. 

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