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kaizen123's Projects

-automatic-image-segmentation icon -automatic-image-segmentation

To segment each of the input grayscale images from the EM stack ‘train-volume.tif’, to get pixel values as close as possible to the true segmented images from the EM stack ‘train-labels.tif’.

2021-cv-surveys icon 2021-cv-surveys

2021 年,计算机视觉相关综述。包括目标检测、跟踪........

3dantseg icon 3dantseg

3D imaging of the Anterior Segment of the human eye with custom hardware at LVPEI

3dseg icon 3dseg

Code reads in an image stack of snow microstructure produced from micro-CT scanning. It segments grains and bonds via 3-D watershed algorithm.

acdrnet icon acdrnet

Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"

acon icon acon

Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]

ai-news icon ai-news

Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

alf icon alf

Adaptive local fitting based active contour model for medical image segmentation

alpha-numeric-character-recogition-from-printed-document icon alpha-numeric-character-recogition-from-printed-document

This project is to recognise the alpha-numeric characters from the printed document. The noise removal is applied to document and then changed into binary image and then each character is segmented using dfs and then resize them and fed into trained neural network, and get prediction.

anatomysketch-software icon anatomysketch-software

A medical image segmentation software supporting user interventions and user-defined funtion extention

anterior-segment-imaging icon anterior-segment-imaging

Anterior Segment Imaging build the 3D representation of the cornea of the eye that is obtained by scanning the anterior segment of the eye

arsl-gesture-segmentation-using-deep-learning icon arsl-gesture-segmentation-using-deep-learning

The purpose of this project is to segment images representing Arabic Sign Language (ArSL) hand gestures into two class labels that are hand and background. The segmentation is done using Deep learning.

automated-dice-counting icon automated-dice-counting

An application that identifies the number of dice and the count on each dice useful in monitoring any dice-based games to enforce fair play. Designed an algorithm to identify and segment the area of interest using image processing techniques like morphological operations, unsupervised background subtraction, and convex hull to highlight the region of interest. Implemented image extraction methods like connected components to count the dots on the dice.

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

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