Memory-efficient architecture for hysteresis thresholding and object feature extraction.

Hysteresis thresholding is a method that offers enhanced object detection. Due to its recursive nature, it is time consuming and requires a lot of memory resources. This makes it avoided in streaming processors with limited memory.