Matlab Engineering Projects brings you best projects with a novel concept for engineering students to upgrade their academic performance. Generally, engineering students prefer Matlab for their final year academic projects as projects in Matlab involve simulation projects, real time projects and embedded projects. Matlab can be interfaced with other supporting domains like Cloud computing, hadoop, data mining etc using Matlab Interface programming. This makes Matlab as a powerful platform/tool as compared to other tools. We have 100+ certified developers working on the recent technologies and tools used in Matlab. Students can approach us with any concept and domain in Matlab; we can give you our complete support with the help of our versatile developers and multi talented experts.


     Matlab Engineering Projects offers you a wide collection of Matlab projects with innovative ideas and novel solutions. Engineering students from various disciplines like computer science engineering, electrical and electronics engineering, communication systems, Information technology approach us for their final year projects. Up to now, we have developed 5000+ projects in Matlab which has upgraded our profile due to the satisfactory result we got from the students. Matlab projects has its own significance in the field of engineering, let’s have a glance over the major concepts, areas, operations involved in Matlab projects.

Overall process and concepts involved in Matlab projects:

  • Image Restoration and backing up
  • Image analysis and statistics
  • Scaling and brightening of images
  • Gray scale transformation/ Negative image
  • Pixel segmentation using RGB component
  • Histogram for Image smoothening
  • Image dithering and fragmentation
  • Image compression and transmission
  • Image filtering and enhancement
  • Color image processing
  • Image masking, re-touching and cloning
  • Computer aided detection and diagnosis

Images used in Matlab operations:

  • Medical Images(PET,X-ray, MRI, CT etc )
  • Microscopic and light Microscopic images
  • NIX images
  • Weather sat images
  • Planet images
  • USGS images
  • Plant images
  • Earth observation images
  • Images for Remote sensing applications etc

Research areas of Matlab:

  • Video and Audio processing
  • Image forensic
  • Optical Character Recognition using NLP
  • Advanced Robotics
  • Natural language processing
  • Image transformation and representation
  • Signal processing
  • Communication and control systems
  • Human identification
  • Hadoop deployments
  • Terrestrial object detection
  • Underwater waves and optical systems
  • Human genome identification
  • Bioinformatics
  • Web mining and information retrieval

Research topics in Matlab:

  •  A novel technique Particle Swarm Optimization and Modified CLEAN Technique  for  Multi-Targets ISAR Imaging
  • A novel approach for  Approximate Message Passing in Compressive Hyperspectral Imaging
  • A novel technology for Analyzing the Effect of JPEG Compression on Local Variance of Image Intensity
  • An effective performance of Five Directional Partial Derivatives-Based Image Smoothing and a Parallel Structure Design
  • An efficiency approach image super-resolution  based on Non-local feature back-projection
  • A novel technology for High-dynamic range image generation from single low-dynamic range image
  • A new process Image De noising  based on Sequence-to-Sequence Similarity-Based Filter
  • A novel technology for Multi-Scale Patch-Based Image Restoration
  • A new approach Local Geometric Duality and Non-Local Similarity  for Single Image Super-Resolution
  • An efficient Image De-noising  based on 2D Orthogonal Locality Preserving Projection
  • A novel technology for Filtering Chromatic Aberration for Wide Acceptance Angle Electrostatic Lenses II—Experimental Evaluation and Software-Based Imaging Energy Analyzer
  • An efficient approach for  Relevance Feedback  based on Discriminative Semantic Subspace Analysis
  • A new performance Constrained Non-Convex Low-Rank Model for Image De blocking based on CON-COLOR
  • An effective  Compression based on Encoder-Driven Inpainting Strategy in Multiview Video Compression
  • A new approach for Image Annotation  based on Multi-label Dictionary Learning