Image-processing analysis segmentation

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. 

Structure tensors have been shown to work well in segmenting and locating structures of specific shape. Several books published in the recent years present extensive literature reviews on structure tensors and their applications [13, 15, 19, 48]. In this chapter, we present in Section 2 a brief review of their application in image processing, focusing on their application to the analysis of seismic data. Section 3, describes the 2D first and second order structure tensors and their properties in more detail. Also, two well known corner detectors, based on the structure tensors, namely the Harris and the... 

Segmentation method based on the analysis by Co-Occurrence Matrix is developed. We try to increase the quality of the obtained results by means of the application of two dimensional (2D) processing. We use Co-Occurrence Matrix for ultrasonic image segmentation. This tool, introduced by Haralick (1), was selected for the present study as several general considerations were favourable ... 

The steps involved in the image acquisition process for cDNA microarrays have been reviewed and a number of image analysis programs are available to mediate this process. The process can be described in four basic steps (1) scanning, (2) spot recognition, (3) segmentation (4) intensity measurement, and (5) ratio calculation (Leung and Cavalieri, 2003). 

The evaluative and subjective associations made by the consumer must be understood when assessing a product these are measured using market research techniques. If the market is understood, fragrances can be developed to match or enhance the image of a particular product or market segment. Sensory analysis is also an important tool in this process. Using powerful statistical techniques, the odour relationships between different products or perfumes can be characterized and quantified, and the results combined with market research to enable the subjective associations to be interpreted in odour terms. 

S.U. Indira, A C. Ramesh A C. Image Segmentation Using Artificial Neural Network and Genetic Algorithm A Comparative Analysis. International Conference on Process Automation, Control and Computing (PACC), Coimbatore. 1 (2011) 1-6. 

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