By Sabu M. Thampi, El-Sayed M. El-Alfy, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne

This ebook incorporates a number of refereed and revised papers of clever Informatics music initially awarded on the 3rd foreign Symposium on clever Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers chosen for this tune conceal a number of clever informatics and similar issues together with sign processing, development popularity, snapshot processing, info mining and their functions.

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Below is the complete flow graph of the proposed system, see figure 2. Input Image (Gray) Reference Image (Color) Convert to Gray Image If possible use same gray conversion method Cluster the Gray Levels Pixel-to-Pixel Mapping Gray Pixel (1D) to Color Pixel (3D) Pseudo Color Image Fig. 2 System flow graph – grayscale to color image conversion As in figure 2, a grayscale image, is taken as an input image to be . The reference converted to a color image from a reference colored image, image is again transformed into a grayscale image, such that the _ method of grayscale conversion for both and images are same, _ but is not necessary.

The features can also be increased by considering other shape and statistical features. The classifier’s accuracy can be enhanced by adding the adaptive boosting classifier. : MRI Brain Image Classification using neural networks. In: International Conference on Computing, Electrical and Electronics Engineering, pp. : Active contour method with locally computed signed pressure force function: An application to brain MR image segmentation. In: Seventh International Conference on Image and Graphics, pp.

Chang et al. [3] agreed with this and thus proposed a novel environment scene image analysis approach based on the perceptual organization which incorporates Gestalt law. This algorithm can handle objects which are unseen before and so used for quality image segmentation. Few authors have used objectshape based models to overcome the segmentation problem with fixed objects [4], but it’s not the real case. The major problems with such algorithms are that, they results in over segmentation and under segmentation.

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