IDENTIFICATION AND CLASSIFICATION OF POWDER MICROSCOPIC IMAGES OF INDIAN HERBAL PLANTS

This paper proposes an automated algorithm for plant identification using microscopic images of powder of herbal plants. In current scenario, the task of identifying plant from its powder form is done by pharmaceutical companies, who performs this task manually. This process takes lots of effort and time. Microscopic images of powder contains varieties of information, which are important evidence for identification of the plant. With every image, different type of noise are present, which makes the segmentation as a critical job. In this paper, we are proposing an algorithm which performs this task automatically by a computer.