Drinking Water Image Processing Algorithm Based On Differential Evolution

Wit h t he rapid deve lopment of industr ia lizat ion a nd urbanizat ion,t he water pollut io n has become more serious in recent years,which has caused the gradua l deteriorat ion of dr inking water sources.However,since the increas ing living sta ndard of people has brought a higher require ment o n the qua lit y of dr ink ing water,the nat iona l water qua lit y indexes has been enhanced to 106.Coagulat io n reaction is a very cruc ial link in the process of water treatment,the result of whic h can directly affect t he fina l water qualit y.There fore,the automat ic adding-alum syste m which can precise ly contro l adding-alum process is the key technology link of water factories' automat ion.The segmentatio n of a lum image based on d igita l ima ge processing is a hot research iss ue at present.This thes is takes alum image in the coagulat ion process as the subject to investigate the algorithm o f ima ge segme ntat ion.This thes is gives a detailed overview on the basic introduct ion of drinking water,the status quo of water treatme nt techno logy and the dyna mic deve lopme nt of water treat ment techno logy at ho me and abroad.The a lum ima ge has a ser ies of divers ified characterist ics,such as its ima ge with stro ng inter ference,its low contrast degree,its random distr ib ut ion,its strong adhesio n and so on.So on the basis of the trad it iona l coagulat ion test,the present study attempts to put forward a digita l image process ing technique based on different ia l e volut ion algor ithm.Moreover,this technique has been applied in the process of a lum image in order to segment and recognize.This t hesis a lso introduces the theories of algor ithm design,the specific algor it hm of ima ge processing,and the ana lys is of e xperimental results.The present study focuses on the design of different ial evo lut ion a lgor it hm and the process ing of alum ima ge.The preprocessing part of alum image mainly inc ludes ana lyzing or igina l ima ges of alum image,graying images,processing media n filter ing,enha nc ing images' effect etc.,which aim to improve the quality of alum flowers and promote the segme nted results of a lum ima ges.In the algor it hm des ign section,this paper not only adopts the revised se lf-adaptive d ifferent ia l evo lut io n a lgor it hm,but a lso segments alum images comb ining wit h Otsu so as to the acc uracy of images' segmentation,which can prevent the study fro m fa lling into local optimum and premature convergence in t he applying processing.This thes is takes the alum ima ges provided a waterworks in the south of China as an exa mp le to conduct the test experiment.The result of exper imenta l shows that the proposed algor it hm can segme nt accurately t he alum images and has a good real-time performance.What's more,this algorithm can also provide the feedbacks of real-time state ima ges for contro lling tap water flocculat ion process,which is bene fic ial to improve the auto mat ion leve l of waterworks auto mat ic alum-adding syste m.