An automatic identification of lung tumor by using CNN network and fuzzy-clustering algorithm

Abstract

The most important view of image segmentation is a process of analyzing image in to individual pixel values for each boundary. All the more definitely, segmentation is the strategy of doling out a mark to each and each pixel in a photograph to such an extent that pixels with the equivalent name share positive traits. This article implements an image segmentation method based on Mean-Shift Clustering Algorithm with a Gaussian Mixture Models. Mean shift is a non-parametric feature-space analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing. The proposed method is used to evaluated in terms of accuracy, precision and actual solution. For this analysis produced accurate image with minimum time period. This new technique is used to analyze the varies lung nodules by means of lowering the noise the usage of computerized segmentation algorithm in specific region.