Application of the Fourier-Mellin Transform to Translation-, Rotation- and Scale-Invariant Plant Leaf Identification
Mcgill University (Canada), M.Sc.
The Fourier-Mellin transform was implemented on a digital computer and applied towards the recognition and differentiation of images of plant leaves regardless of translation, rotation or scale. Translated, rotated and scaled leaf images from seven species of plants were compared. avocado, trembling aspen, lamb's quarter, linden, silver maple, plantain, and sumac leaflets. The rate of recognition was high among translated and rotated leaf images for all plant species. The rates of recognition and differentiation were poor, however, among scaled leaf images and between leaves of different species. Improvements to increase the effectiveness of the algorithm are suggested.
Pratt, John Graham Le Maistre, "Application of the Fourier-Mellin Transform to Translation-, Rotation- and Scale-Invariant Plant Leaf Identification" (2000). Aspen Bibliography. Paper 773.