Composite Edge Detection in Convolutional Neural Networks

Winter 2022 (Version 2)

Current version of the project with updated libraries and newer systems. --> Current Results <--

Spring 2020 (Senior Capstone Project)

Original version of the project, created as an Earlham CS Capstone in 2019/2020. This version is outdated, and clunky, but provided the research and basework for the project.

References

Code

https://www.kaggle.com/iafoss/pretrained-resnet34-with-rgby-0-460-public-lb

https://github.com/fastai/fastai

https://rosettacode.org/wiki/Canny_edge_detector

https://github.com/OlafenwaMoses/ImageAI

https://github.com/adl1995/edge-detectors

https://gitlab.cluster.earlham.edu/field-science/images

https://github.com/Wangyupei/CED

https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_canny/py_canny.html

https://github.com/JalaliLabUCLA/Image-feature-detection-using-Phase-Stretch-Transform

https://github.com/ankitaggarwal011/PyCNN

https://github.com/TejasviSankhe/Edge-detection-using-zero-crossing

Data

https://www.kaggle.com/gavinarmstrong/open-sprayer-images

https://www.kaggle.com/chetankv/dogs-cats-images

https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

https://www.kaggle.com/puneet6060/intel-image-classification

https://www.kaggle.com/chrisfilo/fruit-recognition