Can I read Leaf Classification Using k-NN and Features on EtoBox?

Leaf Classification Using k-NN and Features by RafyAuliaAkbar is a document available to read on EtoBox.

What is Leaf Classification Using k-NN and Features about?

This document proposes a new approach to classify leaf images using shape and edge features extracted from the images. Key steps include: 1. Extracting six features from the leaf images, including shape-based features like roundness, dispersion, and edge-based features obtained from edge detection algorithms. 2. Classifying the leaf images using a k-nearest neighbors classifier based on the extracted features. 3. Testing the approach on the Flavia dataset, which contains 32 types of plant leaves. Exper

Author

RafyAuliaAkbar

Language

EN