Deep Convolutional Generative Adversarial Networks (DCGAN) are trained on plant images and used the trained model to generate synthetic plant images. In this project DCGAN is trained and evaluated on images from [64 x 63 x 3] upto [1536 x 156 x 3]. Along with StyleGAN3 is also implemented for image generation.
(a) Original Image (b) Instance Segmentation of Original Image (c) Grayscale image of Instance segmentation image (d) Foreground Segmented Image (e) Final Cropped Image
(a) Original Image (b)Image converted to HSV color scale from RBG (c) Extract plant mask based on color range (d) Bitwise multiply original image and plant mask
Jayanth Somashekaraiah
Universität Bremen, Bremen
Email: jayanth@uni-bremen.de