1 Crore Project Centre Chennai - Mobile Computing Projects 2017-2018

At 1 Crore Project Centre Chennai, we specialize in empowering students and enthusiasts to delve into the exciting realm of Mobile Computing Projects for the years 2017-2018. Mobile computing is at the forefront of technological advancement, and our dedicated team of experts is here to assist you in exploring the latest trends and developments in this field. Whether you’re a student looking for a challenging academic project or a professional seeking to enhance your skills, we provide the necessary support and resources to help you succeed.

Our Mobile Computing Projects for the years 2017-2018 cover a wide range of topics, from mobile app development to network security and IoT integration. We understand the importance of hands-on experience and practical knowledge, which is why we offer comprehensive guidance throughout your project journey. Our team of experienced mentors will work closely with you to ensure that your project aligns with industry standards and best practices, giving you a competitive edge in today’s technology-driven job market.

At 1 Crore Project Centre Chennai, we are committed to fostering innovation and excellence in the field of mobile computing. Our extensive network of resources, state-of-the-art facilities, and industry connections make us the ideal choice for Mobile Computing Projects in the 2017-2018 academic year. Join us on this exciting journey as you explore the limitless possibilities of Mobile computing technology, all while gaining valuable skills and knowledge that will set you apart in your academic and professional endeavors.

Image Processing

23 project titles

Fusion Similarity-Based Re-ranking for SAR Image Retrieval
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Semi-supervised Online Multi-kernel Similarity Learning for Image Retrieval
Learning Short Binary Codes for Large-scale Image Retrieval
Retrieval Compensated Group Structured Sparsity for Image Super-Resolution
Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
Image Piece Learning for Weakly Supervised Semantic Segmentation
Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation
Disjunctive Normal Parametric Level Set With Application to Image Segmentation
Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
Segmentation-Based Fine Registration of Very High Resolution Multi-temporal Images
Fast Multi region Image Segmentation Using Statistical Active Contours
Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over L1 -Manifold Hyper-Graph of Discriminative Image Regions
Residual De-Convolutional Networks for Brain Electron Microscopy Image Segmentation
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
Integrated Localization and Recognition for Inshore Ships in Large Scene Remote Sensing Images
Airplane Recognition in Terra SAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image
Turning Diffusion-Based Image Colorization Into Efficient Color Compression
Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions
Region-of-Interest Coding Based on Saliency Detection and Directional Wavelet for Remote Sensing Images