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Classification and Retrieval of Texture Images Using Gabor Filtering and Statistical Features

Content Based Image Retrieval (CBIR) is a developing trend in Digital Image processing. CBIR is used to search and retrieve the query image from wide range of database. Many features and algorithms can be used for efficient image retrieval. The features of CBIR as colors, shapes, textures etc. can be derived from image itself. This project represents the retrieval of images based on the texture images. The focus of project is on the images processing aspects and particular using texture features. With the help of Gabor filter features and some statistical feature of texture images we form a feature vector for extraction of features. For retrieval of images these features are useful. The most accurate result is obtained using Gabor features applied on Brodatz texture database. For comparing and finding similarity between features of query image and another image in the database is done by using Euclidean distance, Vector cosine angle distance and Manhattan distance. To analyze the better performance of retrieval of images these distances we plot the precision and recall graph with number of retrieved images respectively.

Published by: Vaishnavi Gadewar, Apoorva Deshmukh, Akshay Ekurge, Ashok Shinde

Author: Vaishnavi Gadewar

Paper ID: V3I3-1463

Paper Status: published

Published: June 6, 2017

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Traffic Monitoring System Using IR Sensors

The project deals with counting the vehicle direction wise and also to alert the driver if there is any road block further ahead.system is implemented using two IR sensors in each signals and main roads.when the vehicle is sensed using first sensor the counter is incremented. When the second sensors sense the vehicle the counter is added to “vehivle count” list and the previous counter is decremented .it also stores the details of direction and location.the vishicle owner is informed about the traafic jam through a display screen placed in every main roads with the details of an alternate deviation

Published by: Deekshitha, Disha D, Malavika, Soumya

Author: Deekshitha

Paper ID: V3I3-1449

Paper Status: published

Published: June 6, 2017

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Age Estimation Using Classifier Artificial Neural Network and Support Vector Machine Based On Face Images.

The most prominent challenge in the facial age estimation is lack of sufficient and incomplete training data. Aging is slower and gradual process therefore faces near close ages look quite similar this can allows us to utilize the face images at neighbouring ages with modelling to particular age. There are many potential applications in age specific human computer interaction for security control and surveillance monitoring. In the last few years biologically inspired features are used for human age estimation for face images but recently more focus put on method like scattering transform. The propose approach exploits scattering transform gives more information about features of the facial images. An efficient descriptor consisting scattering transform which scatters the gabor coefficients and pulled with Gaussian smoothing in multiple layer and is evaluated for facial feature extraction. These extracted features are classified using support vector machine and artificial neural network. Results for face based age estimation obtain by artificial neural network is more effective than support vector machine.

Published by: Rajan Vishnu Parab, Prof. Dattatray S. Bade

Author: Rajan Vishnu Parab

Paper ID: V3I3-1477

Paper Status: published

Published: June 6, 2017

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Regularization of Contract Labour

There are many benefits for permanent employment and hence sometimes the triangular relationship is used as ruse to conceal the employer’s identity as the real employer, to deny employer-employee relationship and deprive workers of the benefits of a permanent employment. The courts order regularization of Contract Labour in case the contract is found to be a ruse to deny permanency to the Contract Labour. There is substantial ambiguity pertaining to the standards for regularization and test courts used to see if the contract is sham. This Article tries to adress this ambiguity

Published by: Arun Sasi

Author: Arun Sasi

Paper ID: V3I3-1343

Paper Status: published

Published: June 6, 2017

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Review on Anticancer Activity of Medicinal Plants

This article has been prepared to review some medicinal plants used for the treating cancer disease. The plant sources of India are likely to provide effective anticancer agents. Herbs have a vital role in the prevention and treatment of cancer. Examples are provided in this review of promising bioactive compounds obtained from various plants with medicinal and other therapeutic uses. The photochemical exploration of these herbs has contributed to some extent in this race for the discovery of new anticancer drugs. In recent years owing to the fear of side effects people prefer to use of natural plant products for cancer treatment. This review also helps to summarize the diverse methodologies and various ways to evaluate the potential natural compounds having anticancer activity. Although drug discovery from medicinal plants continues to provide an important source of new drug leads, numerous challenges are encountered including the procurement of plant materials and their selection.

Published by: Manivel .G, Kandasamy C. S, Hariprasad .R, Baskar .K, Jegadeesh .S, Venkatanarayanan .R

Author: Manivel .G

Paper ID: V3I3-1270

Paper Status: published

Published: June 6, 2017

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Fuzzy Based Stable Election Protocol for Heterogeneous Wireless Sensor Networks

Wireless Sensor Networks have been increasingly with the use of advanced methods to develop these kinds of networks in various fields like biometrics, weather monitoring, military applications etc. Wireless Networks are deployed in various regions and one of the key issues is that, the sensor nodes are largely dependent on the batteries which are fitted in them at the time of installation. In most of the cases the sensor nodes have to be largely dependent on the fixed non rechargeable batteries. Thus it is for utmost importance to save the energy as much as possible and preserve the network energy and hence its lifetime. There have been several routing protocols designed and all are primarily focused to provide maximum network lifetime by ensuring the efficient use of sensor node energy. Among these protocols the clustering based protocols are the most widely used and are extensively researched to devise new routing protocols to preserve the network energy. In this research work the main focus is to study the various available clustering based routing protocols and observe their rules and features. An attempt is also made to devise a new protocol based on Fuzzy Based Stable Election Protocol for heterogeneous networks. A simulated virtual environment is envisaged to be built in MATLAB to understand the network setup and implement the algorithm for an energy efficient routing. A number of protocols have been studied in depth in this research work. The proposed protocol have shown improvement in number of dead nodes and average energy per node as compared to the existing SEP protocol when a comparative study was done on similar simulation parameters on both the methods.

Published by: Nimisha, Faseeh Ahmad, Dr. K. K Sharma

Author: Nimisha

Paper ID: V3I3-1420

Paper Status: published

Published: June 5, 2017

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