Imaging Jobs
Imaging is the application of digital imagery, powerful equipment and technology to capture, analyze, manipulate and display images for a variety of purposes. Imaging engineers are specialists in the use of imaging to solve problems in various fields, including science, healthcare and industry. An Imaging engineer uses imaging technology to capture photos and create models that can be used for diagnostics, evaluation and machining processes.
As an Imaging Engineer, you can use your technical skills to solve complex problems through the synthesis of real-world data with sophisticated software systems. In the healthcare field they can create detailed 3D visualisations of the human body which can be used to diagnose diseases and injuries. In the industry space they can use imaging to improve the productivity of machinery such as 3D printing equipment, optical navigation modules and accelerometers.
Here’s some projects our expert Imaging Engineer made real:
- Developed software for processing medical images for better analysis
- Utilised motion graphics and web design for creating custom visuals
- Created a program for scanning photos to allow multi-photo imports
- Used computer vision & deep learning algorithms for automated image segmentation & classification
- Automated text input into images from an Excel file
- Developed software for finely tuning product images for high quality visuals
Imaging technology is constantly evolving and its applications are endless. Whether it's healthcare, industry or even data science, the power of imaging engineering can be harnessed to bring innovative solutions and redefine outcomes. With so many possibilities available through Freelancer.com, clients are encouraged to post their projects and hire an Imaging Engineer today. We are confident that with their technical expertise, our Imaging Engineers will help you achieve your desired results.
De 25,243 opiniones, los clientes califican nuestro Imaging Engineers 4.9 de un total de 5 estrellas.Contratar a Imaging Engineers
Trying to get facial images enhanced well enough to use facial recognition software
The main objective of this method is to detect DR(Diabetic Retinopathy) eye disease using Image Processing techniques. Automating the process using Convolutional neural networks to speed up blindness detection in patients before its too late. Eye retina images contain artifacts, some of them are out of focus, underexposed, or overexposed etc. Also, some of the images have low brightness and low lightning conditions thus making it difficult to assess the difference between the images. First we do image preprocessing by applying Gaussian blur to bring out distinctive features in the images. In Gaussian Blur operation, the image is convolved with a Gaussian filter which is a low-pass filter that removes the high-frequency components . Then convert the RGB scale images to Gray scale images and...
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