90% , :W o lfe R. R. (1985) [ 2 ] (BCC2boundary chain code), 98. 5%, , Pavlid is T. (1982) , [ 4 ] 2

Transcription

1 T ransactions of the CSA E V o l. 16 N o. 3 M ay ( ) ( ) : 4 : [ 1 ] 3 ( 1) 90% 1 :W o lfe R. R. (1985) [ 2 ] (BCC2boundary chain code) 1 F ig. 1 P rofile of an o range at th ree different phases of the th inning algo rithm % L eem an s V. (1995) Um etan i J. K. T aguch i (1981 ) Pavlid is T. (1982) [ 4 ] 2 Sarkar N. R u iz L. A. (1996) [ 3 ] R. R. W o lfe (1985a b) [ 5 ] 3 : ( )

2 3 : 5 ) 69% D ing K. S. Gunasekaran (1994 ) 3. 5% H einem ann P. H. (1995 ) [ 10 ] Guyer D. E. (1986 ) L eem an s V. ( 1995 ) [ 3 ] W o lfer R. R. M. Sw am inathan (1987 ) [ 6 ] 6 Hough ) (R ectangu larity) (M om en t) Hough ( Inertial p rincipal ax is ) (Eccen tricity) (M om en t invarian t) 8. 1 ( ) V arghese Z. (1991 ) N i B. (1997) [ 11 ] 5 How arth M. S. ( 1992 ) [ 7 ] F reem an ( 2) 87% s Bayes 86% Go lden D elicion s (C ircu larity: C = P 2 (4PA ) : P A 1986 Gunasekaran S. [ 12 ] 2. 4 mm 90% M iller B. K. (1989 ) [ 13 ] 2 3 F ig. 2 T h ree initial stages of im age p rocessing of a carro t tip V an D e V oo ren (1992 ) [ 8 ] 54% (C ircu larity) (Bending Energy) 92% (Sphericity) (Eccen tricity) T h roop J. A. (1989 ) [ 14 ] Guyer D. E. (1993 ) [ 9 ] 100% Cho i K. (1995 ( ) [ 15 ]

3 % Bow ers S. V. (1988 ) [ 16 ] Berlow S. M. (1987 ) [ 17 ] 3 M ERL IN 4 F ig. 3 M ERL IN advanced m ach ine vision inspection & grading system of fruits 5 Pau lsen M. R. (1986) [ 18 ] CCD : 1) T ao Y. (1995) [ 19 ] 2) M erling ( 3) 44 t h 50% 3 3) T ao Y. (1998) [ 20 ] 4) 1. 8% 0. 9%

4 3 : 7 [ 9 ] Guyer D E G E M iles L D Gaultney et al. A pp lication of m ach ine vision to shape analysis in ( leaf and p lant identification. T rans of the A SA E (1): ) [ 10 ] H einem ann P H H J Somm er C T M o rrow et al. M ach ine vision based station fo r grading of go lden D elicious app leṡ P roceedings of the FPA C IV Conference [ 11 ] N i B M R Paulsen and J F R eid. Co rn kernel crow n shape iden tification u sing im age p rocessing. T rans of the A SA E (3): [12 ] Gunasekaran S T M Cooper A G Berlage et al. [ ] Im age p rocessing fo r stress crack s in co rn kernelṡ T rans of the A SA E (1): [1 ]. [13 ] M iller B K andm J D elw iche. A co lo r vision system ( ) V o l(1): fo r peach grading. (4): T rans of the A SA E [2 ] W o lfe R R and W E Sandleṙ A n algo rithm fo r stem [ 14 ] T h roop J A G E R ehkugler and B L U pchurch. detection u sing digital im age analysiṡ T ran s of the A pp lication of com pu ter vision fo r detecting A SA E (2): w aterco re in app leṡ T rans of the A SA E [ 3 ] R uiz L A E M o lto F Juste et al. L ocation and (6): characterization of the stem 2calyx area on o range by [15 ] Cho i K G L ee Y J H an et al. Tom ato m aturity computer vision. J of A gri Engng R es (3): evaluation using co lo r im age analysiṡ A SA E (1): T rans of the [4 ] Pavlidis T. A lgo rithm s fo r graph ics and im age p roce2 [16 ] Berlow S V R B Dodd and Y J H an. N ondestruc2 ssing. Com pu ter Science P resṡ Rockville M d 1982 tive testing to determ ing in ternal quality of fru it [5 ] Sarkar N and R R W o lfe. Computer vision based 1988 A SA E Paper NO system fo r quality separation of fresh m arket [17 ] Berlow S M D J A neshansley J A T h roop et al. tom atoeṡ T rans of the A SA E 1985b 28 (5): 1714 Com pu ter analysis of u trason ic im ages fo r grading 1718 beef 1989 A SA E Paper N o [6 ] W o lfe R R and M Sw am inathan. D etem ining o rien2 [18 ] Paulsen M R and W F M c C lure. Illum ination fo r tation and shape of bell peppers by m ach ine vision. com pu ter vision system ṡ T ran s of the A SA E. T rans of the A SA E (6): (5): [ 7 ] How arth M S J R B randon S W Searcy et al. [ 19 ] T ao Y L Chance and L Bao ren. Full scale fruit E stim ation of tip shape fo r carro t classification by vision so rting system design2facto rs and m ach ine vision. J of A gri Engng R es : 123 con sideration ṡ P roceedings of the FPA C 139 [ 8 ] V an D e V oo ren J G G Po lder W A M V an D er Conference 1995 Ch icago Illino iṡ [20 ] T ao Y. C lo sed2loop search m ethod fo r on2line aut2 H eijden. Identification of m ush room s cultivars using om atic calib ration s of m u lti2cam era in spection im age analysiṡ T rans of the A SA E (1): 347 system ṡ T rans of the A SA E. 1998a 41 (5):

5 Advance on Applica tion of M ach ine V ision Techn ique to Automa tic Qua lity Iden tif ica tion of Agr icultura l Products Ying Yib in Ra o Xiuq in Zha o Yun (Z hej iang U niversity H ang z hou ) J ia ng Yiyua n (N ortheast A g ricu ltu ral U niversity ) Abstract: A cco rding to the fou r differen t fields stem iden tification shape iden tification in ternal quality evaluation and equ ipm en t developm en t the research advancem en ts w ere review ed in th is papeṙ T he p resen t situation p rob lem s & difficu lties to be so lved in Ch ina w ere po in ted ou t w h ich w ou ld p rovide the Ch inese fellow researchers fo r reference and w ou ld be helpfu l to narrow the gap betw een the developed coun tries and Ch ina in th is field. Key words: m ach ine vision agricu ltu ral p roducts quality iden tification 2 9 : : : : ( ) 52 ( ) ( ) ( ) ( ) ( ) 1932 ( ) ( ) ) ( )