Advanced Ensemble ACGC Technique using Image Segmentation Model
S. Govindu1, K. Sundeep Saradhi2, A. Sudhakar3, Ch. Srinivasa Rao4, J. Nageswara Rao5
1Mr. S. Govindu, Department of Computer Science & Engineering, LBRCE, Mylavaram (A.P), India.
2Mr. K. Sundeep Saradhi, Department of Computer Science & Engineering, LBRCE, Mylavaram (A.P), India.
3Mr. A. Sudhakar, Department of Computer Science & Engineering, LBRCE, Mylavaram (A.P), India.
4Mr. Ch. Srinivasa Rao, Department of Computer Science & Engineering, LBRCE, Mylavaram (A.P), India.
5Mr. J. Nageswara Rao, Department of Computer Science & Engineering, LBRCE, Mylavaram (A.P), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 27 April 2019 | PP: 796-799 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F11080476S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, Image segmentation is a process of divide the image into different regions. Image Segmentation technique can be classified into three ways i) Pixel Based Algorithms, iii) Edge Based Algorithms, iii) Region Based Algorithms. PBA is completely based on the pixels that represent the image in Thresholding, FMM, K-means, EBA Edge-based Contour Models, Edge Detection and Linking. RBA Active Appearance Models different objects are Separated by other kind of perceptual boundaries. In RBA approach mostly used in neighbourhood features. In this article compared with the existing models, Active contour Graph cut Fuzzy Entropy-based Segmentation (AEAGFES), (AEW-AGFES), Advanced Ensemble ACGC Technique.
Keywords: Image Segmentation; Active Contour, Graph Cut Technique, FEM, AEW, AEW-AGFES, AEACGCT.
Scope of the Article: Image Security