Fuzzy Systems

D. Napoleon ¹, M. Praneesh ¹, P. Ramya ¹

Affiliations
1 Department of Computer Science, School of Computer Science and Engineering, Bharathiar University, Coimbatore, IN

Abstract

Content based image retrieval is a set of techniques for retrieving semantically relevant images from an image data based on automatically derived image features. In CBIR, Image are indexed by their visual content, such as color, texture and shapes. Further research has suggested that the usage of clustering technique of image retrieval. For this paper we compare Fuzzy Possiblistic C-Means clustering algorithm for retrieving the most similar images. Inour experimental results shows that the modify Fuzzy Possiblistic Clustering Algorithm is better retrieval.

Keywords

Query, Modify Fuzzy Possiblistic C-Means, Content-Based Image Retrieval.

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D. Napoleon ¹, M. Praneesh ², S. Sathya ³

Affiliations
1 Department of Computer Science, School of Computer Science Engineering, Bharathiar University, Coimbatore, IN
2 Department of Computer Science, School of Computer Science Engineering, Bharathiar University, Coimbatore, IN
3 Department of Computer Science, School of Computer Science Engineering, Bharathiar University, Coimbatore, IN

Abstract

Computer hallucination, unlike humans, still has not fully acquired the facility to categories a person’s age group from an image of the person’s face. Successful gender and age classification could be used to boot the performance of face recognition system. Fuzzy models have been used and analyzed in this work to achieve the desired results. The concept of fuzzy lattice neural model is introduced and is applied to classify the age group of a person from the gray scale facial image. Next the fuzzy lattice relation model is constructed and is used to classify the age group of a person. Then the fuzzy lattice neural model is applied to segment an aerial gray scale image.

Keywords

Fuzzy Lattice Neural Model, Image Classification, Clustering, Image Processing.

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M. Praneesh ¹, R. Janarthanan ²

Affiliations
1 Department of Computer Science, Sankara College of Science and Commerce, Bharathiar University, IN
2 Department of Master of Computer Application, Sankara College of Science and Commerce, Bharathiar University, IN

Abstract

The internet of things is an emerging network that connects physical resources and people together with software. IoT is an ability to transfer data over network without requiring human-human or human-to-computer interaction. In this research article we have provided a comprehensive overview of the IoT architecture, models and applications based on Security, Privacy and Threads.

Keywords

IoT, Security, Applications, Privacy.

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