Sewage Image Feature Extraction and Turbidity Degree Detection Based on Embedded System

Sewage turbidity degree is an important judgment standard of primary processed wastewater. Embedded system (ARM) platform has excellences of low power consumption, dexterity, good community ability. A detection method of sewage turbidity degree based on ARM is proposed. The image sensors and light intensity are used to combine with ARM system and obtain the sewage image, and a kind of image gather and analyzing system is composed. The edge detection algorithm and image enhancement of image processing are used to treat the obtained image. We extract sewage turbidity degree characters and judge whether the sewage image is qualified, and realize image detection algorithm on ARM system. ARM system judges sewage qualified or not based on result of image detection arithmetic and information of light intensity sensor. The method is validated by simulation on ARM platform.