Totally correct and complete segmentation of complex scenes usually cannot be achieved in this processing phase A reasonable aim is to use partial segmentation as an input to higher level processing. The segmentation results of these two approaches can therefore be combined in a single description structure, e.g., a relational graph Thresholding Gray level thresholding is the simplest segmentation process. Many objects or image regions are characterized by constant reflectivity or light absorption of their surface. Thresholding is computationally inexpensive and fast. Thresholding can easily be done in real time using specialized hardware.
Complete segmentation can result from thresholding in simple scenes.
Practical Experiment 5.A - VIP Version Save the rabbit.jpg image to your diphome directory. Open VIP and invoke threshold.vip By trial and error, determine the threshold segmenting the rabbit from the background. Determine the interval in which the threshold has to be defined to perform the desired segmentation. By trial and error, determine the threshold segmenting the rabbit from the background. Determine the interval in which the threshold has to be defined to perform the desired segmentation.