Using pixel classification and some Image Processing Techniques to detect bin in images
This project focuses on using the logistic regresion based image pixel classification model and image reinforcement methods to segment and augment images and then detected the positions of the bins in different images. As bins may appear in different places, it is necessary to design a classification algorithm that can segment the bin from a complex scenario. My method achieved a reliable outcome on detecting the location of bins in different scenarios.
The techinical approach and methmetical formulation are all contained in the Bin_detection.pdf
Under the data floder
opencv-python==4.1.2.30
numpy
pillow==7.0.0
scikit-image==0.16.2
timeout-decorator.
glob2.
GitHub