A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud ABSTRACT Big sensor data is prevalent in both industry and scientific research applications where the data is generated with high volume and velocity it is difficult to process using on-hand database management tools or traditional data processing applications. Cloud computing provides a
Image Processing for Edge Detection INTRODUCTION Edge detection is a fundamental tool used in most image processing applications to obtain information from the frames as a precursor step to feature extraction and object segmentation. This process detects outlines of an object and boundaries between objects and the background in the image. An edge-detection filter can
A Scalable and Reliable Matching Service for Content-Based Publish Subscribe Systems Abstract Characterized by the increasing arrival rate of live content, the emergency applications pose a great challenge: how to disseminate large-scale live content to interested users in a scalable and reliable manner. The publish/subscribe (pub/sub) model is widely used for data dissemination because of
A Hybrid Cloud Approach for Secure Authorized Deduplication Abstract Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting deduplication, the convergent
AUTOMATIC CLOUD AND CLOUD SHADOW DETECTION ABSTRACT The cloud and cloud shadow are difficult to captureaccuratelyin optical imagery because of insufficient spectral information. In this paper, an automatic multiple features combined (MFC) method is proposed for cloud and cloud shadow detection in GF–1 WFVimagery which includes three visible and one near–infrared bands. The local optimization
Statistical Region Merging Segmentation ABSTRACT Separating an optical remote sensing image into sea and landareas is very challenging yet of great importance to the coast-line extraction and subsequent object detection. In this paper,we propose a hierarchical region merging approach to auto-matically extract the sea area and employ edge directed graphcut (GC) to accomplish the final
Texture synthesis Steganography Abstract We propose a novel approach for steganography using a reversible texture synthesis. A texture synthesis process re-samples a smaller texture image which synthesizes a new texture image with a similar local appearance and arbitrary size. We weave the texture synthesis process into steganography to conceal secret messages. In contrast to using
Tumor Detection Abstract This paper presents a novel brain tumor segmentation method. It is a hybrid of fuzzy c-means clustering algorithm (FCM) and cellular automata model (CA) through the features obtained from gray level co-occurrence matrix (GLCM). Thi s aims to improve the seed growing problem using similarity function generally found in traditional segmentation algorithms.
Efficient Underwater color image Enhancement using CLAHE method Abstract Conventional contrast enhancement techniques often fail to produce satisfactory results for low-contrast images, and cannot be automatically applied to different images because processing parameters must be specified manually to produce satisfactory results for a given image. This paper proposes a contrast enchancement technique to enhance colour
Performance Analysis of WCDMA on different Modulation Techniques Abstract In Universal Mobile Telecommunication System (UMTS), high data rate transmission is possible by using Wideband Code Multiple Access technique (WCDMA) as an air interface. This paper studies performances of various modulation schemes such as Phase Shift Keying(both BPSK and QPSK) and 16 – Quadrature Amplitude Modulation