By Sabu M. Thampi, El-Sayed M. El-Alfy, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne
This e-book incorporates a choice of refereed and revised papers of clever Informatics song initially awarded on the 3rd foreign Symposium on clever Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers chosen for this music conceal a number of clever informatics and comparable subject matters together with sign processing, trend popularity, photograph processing, info mining and their functions.
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Extra info for Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing, Volume 320)
Non-linear grayscale image enhancement based on firefly algorithm. C. ) SEMCCO 2011, Part II. LNCS, vol. 7077, pp. 174–181. : Performance evaluation of a fraud detection system based artificial immune system on the cloud. : Revisiting negative selection algorithms. : Image Similarity Search using a Negative Selection Algorithm. : Improved thresholding based on negative selection algorithm (NSA). : A comprehensive review of image enhancement techniques. : Gray-scale image enhancement as an automatic process driven by evolution.
FCM works by assigning membership values to the pixels and assigns it to one of the cluster based on membership value. The membership values are given by the membership matrix which contains values between zero and one. The values zero and one indicate no membership and complete membership respectively and values in between zero and one indicates partial membership. The problem with FCM is that it takes large time to perform the clustering. This is because the FCM algorithm is an iterative algorithm and during every iteration each and every pixel of the input image is compared with every representative cluster center to calculate the distance of that pixel with the cluster center.
3 Experimental Results and Analysis Since there are many datasets available in grayscale but are untested with digital color image processing operations and thus fails in proposing a general algorithm for grayscale and colored image, this paper points on this limitation. The algorithm proposed is very simple and thus implemented and tested on low cost computing devices such as mobile phones, ℳ . x. The algorithm is resolution tolerant, that is, for any resolution of reference color image the output pseudo image has no effect or has very marginal change.