International Journal of Engineering Research

A. Lenin Fred ¹, D. S. Renu ¹, J. V. Samini Mol ¹, J. M. Ashforn Hermina ¹

Affiliations
1 Department of Computer Science and Engineering, Mar Ephraem College of Engineering and Technology, Tamil Nadu, IN

Abstract

Diabetes may cause damage to the blood vessels of the retina which may eventually leads to blindness. Automatic segmentation of the retinal vasculature is a primary step towards automatic assessment of the retinal blood vessel features. This paper presents an automated method for the enhancement and segmentation of blood vessels in fundus images. The proposed system consists of three stages-first is pre processing of retinal image to separate the green channel and second stage is retinal image enhancement and third stage is blood vessel segmentation using morphological operations and the features are extracted using the t test algorithm. The proposed approach requires less segmentation time and achieves consistent vessel segmentation accuracy on normal images as well as images with pathology when compared to existing supervised segmentation methods.

Keywords

Fundus Image, Gaussian Mixture Filter, Morphological Operation, Cardiovascular.

Full Text

   

A. Lenin Fred ¹, S. N. Kumar ², S. M. Anchalo Bensiger ¹, S. Lalitha Kumari ², P. Sebastin Varghese ³

Affiliations
1 Dept. of CSE, Mar Ephraem College of Engg. and Tech., Marthandam, Tamil Nadu, IN
2 Dept. of ECE, Sathyabama University, Chennai, Tamil Nadu, IN
3 Metro Scans & Laboratory, Trivandrum, IN

Abstract

In image processing and computer vision, level set algorithms are generally used for segmentation. An improved geometric active contour model is used in this paper for the segmentation of abdominal organs in abdomen CT images. The input images were preprocessed by anisotropic diffusion filter that efficiently preserve the edges. The Distance Regularized Level Set Evolution (DRLSE) is used in this paper and it doesn't require reinitialization procedure unlike the conventional level set methods. The double well potential function was used to define the distance regularized term such that the level set evolution has unique forward and backward diffusion (FAB) effect. The algorithms were developed in Matlab 2010 and tested on real time CT data sets.

Keywords

Segmentation, Preprocessing, Level Set, Reinitialization.

Full Text

   

A. Lenin Fred ¹, D. Dhanya ¹, S. L. Helen Mary ¹, S. Shibi ¹

Affiliations
1 Department of Computer science and Engineering, Mar Ephraem College of Engineering and Technology, IN

Abstract

With the popularity in cloud computing security and data search from complex data system is considered as one of the major concern. Considering the large number of data users and documents in cloud it is necessary for the search service to allow multi keyword query and provide results based on similarity ranking to meet effective data retrieval. In this project we propose one to many order preserving encryption (OPE), for applications of searchable encryption, which flattens the distribution of the plain text to solve the problem of secured multi keyword search (SMS) over encrypted cloud data (ECD). The result shows that data can be retrieved faster by efficient multi keyword search from remotely stored encrypted data.

Keywords

Binary Search, Cloud Computing, Multi Keyword Search, Order Preserving Encryption.

Full Text