基于图像融合的不同成熟阶段苹果果实识别
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1 2种算法对6幅苹果图象的识别结果对比
1 Comparison of recognition results of six apple images by two algorithms
图像编号
Image
number实际圆心坐标
Actual
center
coordinates实际半径/
像素
Actual
radius本文算法
Algorithm in this paper最小外接圆算法
The minimum circumscribed circle algorithm圆心坐标误差
Center corrdinates
error半径误差/像素
Radius error圆心坐标误差
Center corrdinates
error半径误差/像素
Radius errora (85, 150) 45 (−1, 3) 8 (1, −2) −6 (230, 110) 30 (0, 1) −2 (−13, 2) −9 (337, 71) 33 (−3, −3) 0 (0, −1) −2 (368, 252) 33 (13, 15) −2 (15, 34) −10 (465, 330) 33 (−1, 1) 0 (6, −1) −16 (528, 158) 34 (0, −1) 1 (1, 2) 0 b (237, 340) 51 (2, 2) −1 (0, −16) −3 (238, 138) 48 (−3, −1) 0 (−1, −1) 1 (370, 257) 47 (4, −3) −3 (−22, −16) −39 (433, 305) 50 (0, −3) −3 (41, 32) −36 (516, 336) 43 (0, −4) −1 (−22, −18) −15 (566, 365) 42 (−1, 0) 0 (28, 11) −16 c (480, 138) 48 (−17, 0) 5 (−11, 1) −5 (525, 315) 43 (−14, −2) 3 (−7, −4) −8 d (71, 247) 30 (1, 0) 0 (−5, −18) −12 (95, 285) 25 (5, −11) −1 (19, 20) −17 (94, 142) 32 (1, −2) 0 (0, 1) −1 (336, 182) 21 (0, 0) 0 (5, −1) 2 (389, 250) 19 (2, 1) 0 (−5, 27) −12 (402, 212) 19 (0, 0) 0 (8, −11) −12 (541, 338) 24 (4, 0) 0 (5, 4) 1 e (206, 301) 22 (0, −2) 0 (0, 2) −1 (345, 377) 21 (2, 1) 1 (6, −25) −8 (341, 345) 20 (0, 1) 0 (2, −7) −9 (365, 268) 21 (−1, −2) −1 (0, 0) 0 (477, 268) 17 (−2, −1) 0 (2, −1) 3 (537, 299) 17 (10, 0) −1 (11, 3) −7 (580, 288) 18 (0, −4) −1 (−6, −11) 11 f (195, 62) 25 (−2, −2) −1 (2, 0) −2 (283, 93) 29 (−1, −1) 3 (2, 12) −11 (290, 67) 24 (1, 0) 0 (5, −14) −16 (298, 154) 20 (5, −4) −1 (3, 4) −1 (428, 254) 19 (5, −2) −2 (2, 9) 1 (468, 47) 21 (0, 0) 0 (7, 6) −8 
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