RADAR Image Fusion Using Wavelet Transform

RADAR Images are strongly preferred for analysis of geospatial information about earth surface to assesse envirmental conditions radar images are captured by different remote sensors and that images are combined together to get complementary information. To collect radar images SAR(Synthetic Aperture Radar) sensors are used which are active sensors and can gather information during day and night without affecting weather conditions. We have discussed DCT and DWT image fusion methods,which gives us more informative fused image simultaneously we have checked performance parameters among these two methods to get superior method from these two techniques

IoT based Water Management System

The conventional technique of measuring the quality of water is to gather the samples manually and send it laboratory for analysis, but this technique is time overwhelming and not economical. Since it is not feasible to take the water sample to the laboratory after every hour for measuring its quality. The water quality measuring system can measure the essential qualities of water in real time. The system consists of multiple sensors to measure the standard of water, microcontroller and wifi modem to send the information to the watching center. It's a true time system which is able to endlessly measure the standard of water and can send the measured values to the watching center when each predefinedtime. During the past decade, water needs have increased unpredictably in India. Increasing demand of water supply has become a major challenge for the world. Wasteful usage of water, climatic changes and Urbanization has further depleted the resource. Conservation and management of the resource must be given utmost importance. In this paper, we present an IoT design for water monitoring and control approach which supports internet based data collection on real time bases. This paper proposes a system that addresses new challenges in the water sector -flow rate measuring and the need for a study of the supply of water in order to curb water wastage and encourage its conservation. We also measure the quality of water distributed to every household by deploying pH and conductivity sensors. The traditional water metering systems require periodic human intervention for maintenance making it inconvenient and often least effective. This system is designed to overcome for shortcoming of the existing models for a ubiquitous usage of wireless systems for smart quality monitoring and communicate datawirelessly

Automatic Defect Detection and Classification Technique from Image Processing

Image processing is one of the most increasing areas in computer science. As technology advances, the analog imaging is switched to the digital system. Every day, we capture huge amount of images which are very difficult to maintain manually within a certain period of time. So the concept and application of the digital imaging grows rapidly. Digital image processing[7] is used to extract various features from images. This is done by computers automatically without or with little human intervention. One of the most important operations on digital image[2] is to identify and classify various kinds of defects. Thus to detect the defects from any image some methods are developed. In this paper a defect detection method for ceramic tiles is proposed. The proposed method is tested for images with resolution 1920×1080 pixels. The method has tested only for defects such as blobs and cracks