Image Processing and Computer Vision
Image and video analysis in disciplines such as guidance and control, surveillance and monitoring, tissue screening, industrial quality control, and medical resonance is expanding rapidly. As the capabilities of image and video capture devices increase, along with the sophistication of digital analysis techniques, the volume of generated data also increases. To gain insight into image and video data, algorithms and customized applications must be developed, deployed on processors, and integrated into workflows.
MathWorks Consulting Services brings broad industry background and extensive tools expertise and puts it to work on your image and video analysis project.
Developing image and video analysis algorithms for detecting product defects
MathWorks Consulting Services helps engineers apply image acquisition and analysis algorithms for industrial quality control systems based on the unique features inherent in the acquired images when developing image analysis software. We teach you techniques to automate your image and video analyses, substantially increasing throughput and reducing waste and effort.
Capturing efficient, streamlined workflows in customized user interfaces
MathWorks Consultants help customers develop algorithms and applications to capture specialized data analysis workflows. Image or video analysis workflows are streamlined by implementing custom applications to facilitate the execution of processing algorithms. Best practices gained through years of experience and mastery of MATLAB and Simulink are applied and the knowledge transferred so you can continue to maintain, develop, and enhance your applications.
Processing of large aerial and satellite geo-images
Remote sensing applications involve a broad set of technical issues, from handling large data sets, to multichannel image processing, to handling georeference and map metadata. MathWorks Consultants help you manage and manipulate multispectral and hyperspectral data, isolate remotely-sensed objects, and calculate derived data such as vegetation indices or solar reflectance. We have worked with industries ranging from defense to agriculture to guide the development of customized analysis tools for processing remote sensing data.
Detecting, classifying, recognizing and tracking objects
Computer vision can be used to identify and track objects of interest, such as people, highway signs, and packages, in real-time or recorded video data. MathWorks Consultants assist you in building applications to track objects and detect motion in video data, and to isolate transient features from a static background scene. We help you apply these computer vision capabilities to problems ranging from vehicle tracking to the guidance of docking vessels.
MathWorks Consulting Services works with you to:
- Replace labor-intensive manual processes with faster automated or semiautomated analyses that substantially increase productivity
- Create customized applications which capture efficient, streamlined workflows
- Build in-house competency through customized, project-based coaching sessions
MathWorks Consulting Services helps you gain insight into image and video data with customized applications.
Joyeeta Mitra Mukherjee is a consultant engineer who helps customers develop MATLAB-based algorithms for computer vision and image processing applications. She holds a Ph.D. from the University of Houston, Texas in electrical and computer engineering with a focus on signal processing and neural networks. Before joining MathWorks, Joyeeta was an assistant professor of radiology at University of Massachusetts Medical School where she developed algorithms for image reconstruction, image registration, and motion correction in nuclear imaging modalities (PET and SPECT). She also consulted for a start-up that developed medical devices for image-guided interventional electrophysiology (EP); she worked on 3D visualization, cardiac chamber mapping, automated segmentation, and object tracking. Joyeeta is a member of SPIE and a senior member of IEEE.
Related Conference Papers and Technical Materials
- Improved frame-based estimation of head motion in PET brain imaging (Journal article; sign in required)
- An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging (Journal article; sign in required)
- Image Reconstruction Including Shift-variant Blur Compensation (World patent)
- IEEE 2009: Estimation of rigid-body and respiratory motion of the heart from marker-tracking data for SPECT motion correction (Journal article)
- A Multi-stage System for the Automated Detection of Epileptic Seizures in Neonatal EEG (Journal article)
- Generation of Patient-Specific 3D Cardiac Chamber Models for Real-Time Guidance in Cardiac Ablation Procedures (Journal article; sign in required)
- SPIE Medical Imaging 2014: Estimation of sparse null space functions for compressed sensing in SPECT (Conference paper; sign in required)
- SPIE Medical Imaging 2013: Objective assessment of penalized maximum likelihood reconstruction with sparsity-promoting penalty for Myocardial perfusion SPECT imaging (Conference paper; sign in required)