LEADER 00000cam a2200817Ka 4500 001 ocn825768801 003 OCoLC 005 20160527040648.9 006 m o d 007 cr cnu---unuuu 008 130129s2000 si a ob 001 0 eng d 019 854974232 020 9789812797636|q(electronic book) 020 9812797637|q(electronic book) 020 |z9810240228 020 |z9789810240226 035 (OCoLC)825768801|z(OCoLC)854974232 040 N$T|beng|epn|cN$T|dIDEBK|dE7B|dI9W|dYDXCP|dEBLCP|dOCLCQ 049 RIDW 050 4 TP370.5|b.D38 2000eb 070 TP370.5|b.D383 2000 072 0 Q100 072 0 Q500 072 7 TEC|x012000|2bisacsh 082 04 664/.07|222 084 DAT 760f|2stub 084 LEB 030f|2stub 084 LEB 200f|2stub 090 TP370.5|b.D38 2000eb 100 1 Davies, E. R.|q(E. Roy)|0https://id.loc.gov/authorities/ names/nr91032311 245 10 Image processing for the food industry /|cE.R. Davies. 264 1 Singapore ;|aRiver Edge, NJ :|bWorld Scientific,|c[2000] 264 4 |c©2000 300 1 online resource (xx, 289 pages) :|billustrations. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 490 1 Series in machine perception and artificial intelligence ; |vvol. 37 504 Includes bibliographical references (pages 257-273) and indexes. 505 0 Ch. 1. Introduction. 1.1. Food and its production. 1.2. Image processing and machine vision. 1.3. Biological versus machine vision. 1.4. How can image processing help with food processing? 1.5. The following chapters -- pt. 1. Image processing methodology. ch. 2. Images and image processing. 2.1. Introduction. 2.2. Images. 2.3. Image processing. 2.4. Median and rank-order filters. 2.5. Thresholding. 2.6. Adaptive thresholding. 2.7. Edge detection. 2.8. Concluding remarks -- ch. 3. Shape analysis. 3.1. Introduction. 3.2. Connected components analysis of images. 3.3. Skeletons and thinning. 3.4. Skeleton-based analysis of shape. 3.5. Distance functions. 3.6. General dilation and erosion operators. 3.7. Properties of dilation and erosion operators. 3.8. Closing and opening. 3.9. Summary of morphological operations. 3.10. Boundary pattern analysis. 3.11. Concluding remarks -- ch. 4. Feature detection and object location. 4.1. Introduction. 4.2. From template matching to inference. 4.3. Finding features. 4.4. Line location. 4.5. Circle location. 4.6. Ellipse location. 4.7. Graph matching. 4.8. Using the Hough transform for point pattern matching. 4.9. Concluding remarks -- ch. 5. Texture. 5.1. Introduction. 5.2. Tackling the problem of texture analysis. 5.3. Laws' approach. 5.4. Ade's approach. 5.5. Concluding remarks -- ch. 6. Three-dimensional processing. 6.1. Introduction. 6.2. Stereo vision. 6.3. Shape from shading. 6.4. Views and projections. 6.5. Motion. 6.6. Concluding remarks -- ch. 7. Pattern recognition. 7.1. Introduction. 7.2. Bayes' approach to SPR. 7.3. The nearest neighbour approach. 7.4. Artificial neural networks. 7.5. Supervised and unsupervised learning. 7.6. Principal components analysis. 7.7. Concluding remarks. 505 8 pt. 2. Application to food production. ch. 8. Inspection and inspection procedures. 8.1. Introduction. 8.2. Phases in the inspection process. 8.3. Details of the inspection process. 8.4. Lighting schemes. 8.5. Concluding remarks -- ch. 9. Inspection of baked products. 9.1. Introduction. 9.2. A basic case study: Jaffacake inspection. 9.3. Case study: inspection of cream biscuits. 9.4. Short case studies of baked product inspection. 9.5. Concluding remarks -- ch. 10. Cereal grain inspection. 10.1. Introduction. 10.2. Case study: location of dark contaminants in cereals. 10.3. Case study: location of insects. 10.4. Case study: high speed grain location. 10.5. Short case studies of grain and nut inspection. 10.6. Concluding remarks -- ch. 11. X-ray inspection. 11.1. Introduction. 11.2. X-ray image acquisition. 11.3. Case study: reliable thresholding of x-ray images. 11.4. Case study: inspection of frozen food packs. 11.5. Case study: design of hardware for inspection of frozen food packs. 11.6. Short case studies of x-ray inspection. 11.7. Concluding remarks -- ch. 12. Image processing in agriculture. 12.1. Introduction. 12.2. Case study: guidance of a crop-spraying vehicle. 12.3. Case study: model-based tracking of animals. 12.4. Case study: inspection and grading of potatoes. 12.5. Case study: inspection of apples. 12.6. Case study: inspection and grading of mushrooms. 12.7. Concluding remarks -- ch. 13. Vision for fish and meat processing. 13.1. Introduction. 13.2. Case study: species sorting of fish. 13.3. Case study: grading of prawns. 13.4. The problem of meat processing. 13.5. Case study: inspection and grading of poultry parts. 13.6. Concluding remarks -- ch. 14. System design considerations. 14.1. Introduction. 14.2. Design of inspection systems -- the status quo. 14.3. System optimization. 14.4. The value of case studies. 14.5. The way to go. 14.6. Further considerations relating to hardware accelerators. 14.7. The need for rigorous timing analysis of vision algorithms. 14.8. Concluding remarks -- ch. 15. Food processing for the Millennium. 15.1. Introduction. 15.2. The range of the case studies. 15.3. The cost of vision hardware. 15.4. The potential range of applications of vision. 15.5. Prognosis. 520 This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and installed. It starts with a careful study of image processing and machine vision methodology, and then goes on to analyse how this can be applied in the main areas of food processing and production. A case study approach is used to give relevance to the work, making the book user-friendly. This book will help the food industry to observe 'due diligence', and researchers to be more aware of the problems of analysing images of food products. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Food industry and trade|xQuality control.|0https:// id.loc.gov/authorities/subjects/sh85050295 650 0 Food adulteration and inspection|0https://id.loc.gov/ authorities/subjects/sh85050256|xEquipment and supplies. |0https://id.loc.gov/authorities/subjects/sh00005850 650 0 Image processing|0https://id.loc.gov/authorities/subjects/ sh85064446|xMethodology.|0https://id.loc.gov/authorities/ subjects/sh99001902 650 0 Imaging systems|0https://id.loc.gov/authorities/subjects/ sh85064471|xDesign and construction.|0https://id.loc.gov/ authorities/subjects/sh2002006372 650 0 Radiography, Industrial.|0https://id.loc.gov/authorities/ subjects/sh85110692 650 0 Food processing plants|xEquipment and supplies.|0https:// id.loc.gov/authorities/subjects/sh85050312 650 7 Food industry and trade|xQuality control.|2fast|0https:// id.worldcat.org/fast/930920 650 7 Food adulteration and inspection.|2fast|0https:// id.worldcat.org/fast/930671 650 7 Equipment and supplies.|2fast|0https://id.worldcat.org/ fast/1352983 650 7 Image processing.|2fast|0https://id.worldcat.org/fast/ 967501 650 7 Methodology.|2fast|0https://id.worldcat.org/fast/1018722 650 7 Imaging systems|xDesign and construction.|2fast|0https:// id.worldcat.org/fast/967609 650 7 Imaging systems.|2fast|0https://id.worldcat.org/fast/ 967605 650 7 Radiography, Industrial.|2fast|0https://id.worldcat.org/ fast/1432081 650 7 Food processing plants|xEquipment and supplies.|2fast |0https://id.worldcat.org/fast/931021 655 4 Electronic books. 776 08 |iPrint version:|aDavies, E.R. (E. Roy).|tImage processing for the food industry.|dSingapore ; River Edge, NJ : World Scientific, ©2000|z9810240228|w(DLC) 2005297835 |w(OCoLC)44998979 830 0 Series in machine perception and artificial intelligence ; |0https://id.loc.gov/authorities/names/n91107585|vvol. 37. 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=514085|zOnline eBook. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading this eBook|uhttp:// guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d20160607|cEBSCO|tebscoebooksacademic|lridw 994 92|bRID