Academic Work - Computer Vision

• Digital Image Processing and Image Preprocessing

  The two documents below demonstrate how an image can be digitally processed and preprocessed through the use of image modifying techniques and the image processing library OpenCV. The work performed in the first document features the altering of the Lena image, performing actions such as resizing, cropping, color manipulation, and binarization. The second document focuses on an image of a human blood vessel and making the image clearer through image augmentations, histogram stretching, CLAHE, RGB normalization, and brightness and contrast enhancement.

• Morphological Image Processing

  This document demonstrates image processing through using the geometry within the images. Through boundary extraction, closing, region filling, and connected components, morphological processing can help create an image that is easier to understand.

• Object Detection

  This document demonstrates Haar cascade classifying using blood vessel analysis and license plate reading. The blood vessels are dilated, closed, and have connected components identified. The license plate reading process uses erosion, edge detection, contour detection, and masking to determine the license plate number.

• YOLO

  This document demonstrates the use of YOLO (You Only Look Once) where filter boxes are used to identify specific objects in an image and a video.