2D Feature Space for Snow Particle Classification into Snowflake and Graupel
This study presents three image processing systems for snow particle classification into snowflake and graupel All of them are based on feature classification yet as a novelty in all cases multiple features are exploited Additionally each of them is characterized by a different data flow In order to compare the performances we not only consider various features but also suggest different classifiers The best achieved results are for the snowflake discrimination method applied before statistical classifier as the correct classification ratio in this case reaches 94% In other cases the best results are around 88%
classification image processing snow particle features