A feature-based approach for processing nanoscale images

摘要: Nanotechnology is a rapidly emerging field in which the material structures are of size 100 nanometers or smaller. Thus, analyzing images at nanoscale level challenging task. Users this interested image analysis and processing to draw conclusions such as impact various experimental conditions on nature the image consequently their usefulness several applications. This motivates our work that involves designing a system will not only recognize similarities differences among images, but do so efficiently accurately. Features representative manner compared by human experts finding empirical data about particle sizes, depth, inter-particle distances forth. In work, we look into use features for comparison implementing feature-based algorithm real image data sets from nanotechnology thereafter using results processes clustering commonly applied users analyze images. We able to effectively assess approach real-world context corroborated evaluation.