Resim İşleme İle Sprey Kalitesinin Belirlenmesi

ÖZET: Sprey yöntemi ile kimyasalların (yağ, ilaç, koku, gıda, temizlik malzemesi…) yüzeylere püskürtülmesi sıklıkla hayatın her alanında kullanılmaktadır. Spreyden çıkan sıvının olması gerekenden çok büyük olması damlanın yüzeyden kaymasına neden olurken, damlanın çok küçük olması ise damlanın hedefe ulaşmasını negatif yönde etkileyen bir faktördür. Spreyin kaplama oranları, damla çap dağılımı ve yüzey üzerinde damla dağılımı spreyin kalitesini gösteren en önemli sprey performans kriterleridir. Örneğin günümüzde tarımda zararlılarla mücadelede her ne kadar zararları bilinse de kimyasal ilaçlar sıklıkla kullanılmaktadır. Uygun seçilmeyen damla çapları toprağın kirlenmesine veya istenmeyen alanların ilaçlanması nedeniyle israfa ve çevre kirliliğine neden olmaktadır. Sprey performansının ölçülmesi amacıyla görüntü işleme tabanlı bir program hazırlanarak, birim alandaki damla sayısı, kaplama oranı, ortalama damla çapı, damla spektrumu gibi parametreler bulunmuştur. Suya duyarlı kağıtlar yardımıyla ilaçlama ortamından alınan sprey örnekleri, tarayıcı ya da çözünürlüğü yüksek kameralarla bilgisayara aktarılarak uygun filtrelerden geçirilerek, görüntü işleme tekniklerinden, çoklu bant eşik değer yöntemiyle hassas bir şekilde iki renge indirgenerek damla görüntüleri çıkartılmıştır. Elde edilen bu resimde ki damlalar yardımıyla bahsedilen analizler hesaplanmıştır. Damla sayımında floodfill algoritması kullanılmıştır. Sonrasında sırayla damlaların çapları, yuvarlaklık katsayıları, ortalama damla çapları ve damla spektrumu çıkartılmıştır. Sprey damlalarına ait verilerin çıkartılması ile uygun damla büyüklüğünün seçilmesi için sprey mekanizmalarının ayarı ve uygun kimyasal çözeltilerin hazırlanmasına katkı sağlanmıştır. ABSTRACT: Spraying chemicals (oil, medicine, fragrance, food and cleaning agents…) on surfaces with the spray method is frequently used in all areas of our lives. The fact that the liquid coming out of the spray is too large than it should cause the drop to slide off the surface, while the very small drop is a factor that negatively affects the drop reaching the target. Spray coating rates, drop diameter distribution and drop distribution on the surface are the most important spray performance criteria that show the quality of the spray. For example, chemical drugs are frequently used in the fight against pests in agriculture today, although their damages are known. Unsuitable drop diameters cause waste and environmental pollution due to contamination of the soil or spraying of unwanted areas. An image processing-based program was prepared to measure the spray performance, and parameters such as drop number per unit area, coating rate, average drop diameter and drop spectrum were found. Spray samples taken from the environment with the help of water-sensitive papers were transferred to the computer with a scanner or high-resolution cameras and passed through appropriate filters, one of the image processing techniques, with the multi-band threshold method, to delicately reduce the droplet images to two colors. The mentioned analyzes were calculated with the help of the drops in this picture obtained. Floodfill algorithm was used in drop counting. Then, the diameters of the drops, the roundness coefficients, the average drop diameter and the drop spectrum were extracted. With the extraction of spray drop data, contribution was made to the adjustment of spray mechanisms and the preparation of appropriate chemical solutions to select the appropriate drop size.

Anahtar Kelimeler:

Resim işleme, Sprey kalitesi, Eşik değer

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Bachalo W. D., Hess C. F., Hartwell C. A., 1979. An Instrument For Spray Drop Size And Velocity Measurement. American Society Of Mechanical Engineers Winter Meeting. Paper 79-wa/gt-13
Bexon R., 1973. Magnification In Aerosol Sizing By Holography. Jounal Of Physics And Scientific Instruments. 6, 245-8
Bond C.p., 1974. Quantimed 720 For The Analysis Of Spray Droplet Distribution. British Crop Protection Council Monograph No: 11. Pesticide Application By Ulv Methods Pp. 275-8.
Bozdağ T., 1996. Development Of A Particle Size Distribution Analysis System By Digital Image Processing, Ortadoğu Teknik Üniversitesi Fen Bilimleri Enstitüsü Maden Mühendisliği Anabilim Dalı Doktora Tezi.
Burke M., 1996. Image Acquisition-handbook Of Machine Vision Engineering. Chapman & Hall.
Ciba-geigy, 1994a. Oil Sensitive Paper Cf1 For Monitoring Spray Distrubution.ciba-geigy Ltd. 11783/1e. Basle, Switzerland.
Ciba-geigy, 1994b. Oil Sensitive Paper Cf1 For Monitoring Spray Distrubution.ciba-geigy Ltd. 11784/1e. Basle, Switzerland.
Ciba-geigy, 1995a. Water Sensitive Paper For Monitoring Spray Distrubution. Application Services (A.g. 8.11) Leaflet. Ciba-geigy Application Services. Ch-4002. Basle, Switzerland.
Crowe T.g., Downey D. Giles D.k., 2005. Digital Device And Technique For Sensing Distribution Of Spray Deposition. American Society Of Agricultural Engineers. Vol. 48 (6):2085-2093.
Degré A., Mostade O., Huyghebaert B., Tissot S., Debouche C., 2001. Comparision By Image Processing Of Target Supports Of Spray Droplets. American Society Of Agricultural Engineers. Vol. 44 (2):217-222.
Dobbins R. A., Crocco L., Glassman J., 1963. Measurement Of Mean Particle Size Of Sprays From Diffractively Scattered Ligth. American Institue Of Aeronautics And Astronautics Journal 1, 1882-6.
Dombrowski N., Wolfson D. L., 1971. Measurement Of The Surface Volume Mean Diameter Of Sprays. Aerosol Science 22, 405-12.
Dunn P., Walls J. M. 1978. An Introduction To In-line Holography And It’s Application. British Crop Protection Council Monograph No:22, Symposium On Controlled Drop Application. Pp 23-4.
Efford N., 2000. Digital Image Processing. Addison-wesley, Usa
Farlow N. H., French F. A., 1956. Calibration Of Liquid Aerosol Collectors By Droplets Containing Uniform Size Particles. Journal Of Colloid Science 11, 177-82.
Fox R. D., Derksen R. C., Cooper J.a., Krause C. B., Ozkan H. E., 2003. Visual And Image System Measurement Of Spray Deposits Using Water-sensitive Paper. American Society Of Agricultural Engineers. Vol. 19 (5):549-552.
Gonzales R.c., Woods R.e., 1993. Addison-wesley Publishing Company. Usa.
Himel C. M., Mcdaniel R., 1975. Standardization Of Field Methods Of Determination Of Insecticide Spray Droplet Size. Us Navy Research Contact Report Year 1. N00014-70-a-0309-003.
Johnstone D. R., Huntingdon K.r., 1970. A Comparision Of Visual Microscopic Methods Of Spray Droplet Size Measurement Using Eyepieces Employing The Image Shearing Principle And Globe And Circle Eyepiece Graticule. Journal Of Agricultural Engineering Research. 15, 1-10.
Lefebvre A.h., 1993. Droplet Production. In: Matthews G.a., Heslop E.c. (Ed.), Application Technology For Crop Protection. Cab International: 35–54.
Landing L., Andersen K.,1989. A Covariance Processor For Velocity And Size Measurements. Vol Iv. Pp. 454-72.springer-verlag Berlin.
Last A. J., Parkin C. S. Beresford R., 1987. Low Cost Image Analysis For The Evaluation Of Aerially Appliade Pesticide Deposits. Journal Of Computer And Electronics In Agriculture. 1,215-18.
Matthews G.a., 1979. Pesticide Application Methods. Longman Scientific& Technical. New York.
May K. R., 1950. The Measurent Ofairbone Droplets By The Magnesium Oxide Method. Journal Of Scientific Instruments 27, 128-30.
May K.r., Clifford R., 1967. The Impaction Of Aerosol Particles On Cylinders Spheres, Ribbons And Discs. Annals Of Occupational Hygiene 10, 83-95.
Nawaby A. S., 1970. A Method Of Direct Measurement Of Spray Droplets In An Oil Bath. Journal Of Agricultural Engineering Research. 43, 1317-24.
Panneton B., 2002. Image Analysis Of Water-sensitive Cards For Coverage Experiments. American Society Of Agricultural Engineers. Vol. 18 (2):179-182.
Parkin C.s., 1993. Methhods For Measuring Spray Droplet Sizes. Cab International. Wallingford, Uk.
Ritter G.x., Wilson J. N., 1996. Hand Book Of Computer Vision Algorithms In Image Algebra. Crc Press. Usa.
Roy-choudhury A. P., Stevens W. F., 1955. A New Technique For Drop Size Distribution Determinations. Transactions Of The Indian Institution Of Chemical Engineers. 10,21-4.
Russ J.c., 1999. The Image Processing Handbook. Crc Pres And Ieee Pres. Usa.
Salyani M., Fox R.d., 1999. Evaluation Of Spray Quality By Oil-and Water-sensitive Papers. American Society Of Agricultural Engineers. Vol. 42 (1):37-43.
Sánchez-hermosilla J., Medina R., 2004. Adaptive Eşik Değer For Droplet Spot Analysis Using Water-sensitive Paper. American Society Of Agricultural Engineers. Vol. 20 (5):547-551.
Spillman J.j., 1984. Spray Impaction, Retention, Adhesion:an Introduction To Basic Characteristics. Pesticide Science 15, 97-106.
Sudheer K.p., Panda R.k., 1999. Digital Image Processing For Determining Drop Sizes From Irrigation Spray Nozzles. Elsevier Science B.v. 0378-3774/00/$
Swithenbank J., Beer J. M., Taylor D.s., Abbott D., Mccreaton G.c., 1976. A Laser Diagnostic Technique For The Measurement Of Droplets And Particle Size Distribution. American Institute Ofaeronautics And Astronautics Paper 76-79. Washington, D.c.
Taylor E. H., Harmon D. B., 1954. Measurin Drop Sizes In Sprays. Industrial And Engineering Chemistry. 46, 1455-7.
Turner C. R., Huntingdon K. A., 1970. The Use Of Water Sensitive Dye For The Detection And Assessment Of Small Spray Droplets. Journal Of Agricultural Engineering Research. 15, 385-7.
Uk S., 1977. Tracing Insecticide Spray Droplets By Sizes On Natural Surfaces. Pesticide Sicience. 8, 501-9.
Wolf R.e., 2003. Assessing The Ability Of Dropletscan™ To Analyze Spray Droplets From A Ground Operated Sprayer. American Society Of Agricultural Engineers. Vol. 19 (5):521-530.
Yaşar E., 2005. Algoritma Ve Delphi2005™. Ekin Yayınevi Bursa.
Ying-dong, Cui Cheng-song, Chen Shan-ben, Li Qing-chun, 2003. On-line Measurement Of Deposit Dimension In Spray Forming Using Image Processing Technology. Elsevier B.v. 0924-0136/$
Zeren Y., Bayat A., 1995. Tarımsal Savaş Mekanizasyonu. Çukurova Üniversitesi Ziraat Fakültesi Yayınları. Yayın No 108 Adana.