Transform before/after weight loss face pictures - an experiment
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Updated
Dec 30, 2017 - MATLAB
Transform before/after weight loss face pictures - an experiment
This is an improved version of the deblurring of faces. It shows about 5% increase in SSIM metric in comparison with the original methods. Tweaked the existing dehazing algorithms to work for deblurring.
Sistema de visão artificial para extrair informações de imagem de concreto, por intermédio da amostra estimar a quantidade de rocha e agregados.
Project assignment for Image Processing course
Here are some examples of MATLAB programs for image processing of RGB images.
An algorithm to determine spliced regions of an image using Kurtosis concentration value.
This is the matlab program which detects the real time red color through image processing.
Image Steganography using Huffamn Encoding and Laguerre Transform
a Matlab Image processing program with face detection and face tracking
Turbidity Detection of Water Samples using Image Processing
Senior year "Image Processing" course projects
This project is actually a map to identify complex fractures. Then it can be designed as a self-organizing application in finding related fractures.
Watermarking using Iris on host image. The discrete cosine values of iris templates are extracted through Discrete Cosine Transform(DCT) and converted to binary code. This binary code is then embedded into the singular values of the host image’s coefficients generated through discrete wavelet transform. The result of this project is that the per…
A MATLAB project that solves CAPTCHA images using an Image pre-processing pipeline and Decision Trees.
It is an integrated software for image processing that performs the basic functionalities like sharpening, smoothening, grayscale, binary, edge, skeleton, negative, power law transformation, histogram equalizing, separating the red, green, blue attributes, etc. It is developed using MATLAB
Image processing algorithm to identify structure of tumour spheroids with cell cycle labelling
It is done using MATLAB (Matrix Laboratory). Independent Project.
Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images
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