• Acta Photonica Sinica
  • Vol. 53, Issue 2, 0210001 (2024)
Wenxuan HE1,2, Zhengzhou WANG1,*, Jitong WEI1, Li WANG1, and Dongchi YI1
Author Affiliations
  • 1Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China
  • 2University of Chinese Academy of Sciences,Beijing 100039,China
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    DOI: 10.3788/gzxb20245302.0210001 Cite this Article
    Wenxuan HE, Zhengzhou WANG, Jitong WEI, Li WANG, Dongchi YI. Dual Optical Target Recognition Method for Collimated Images Based on BLOB Region and Edge Feature Analysis[J]. Acta Photonica Sinica, 2024, 53(2): 0210001 Copy Citation Text show less
    Dual optical target recognition data processing flow
    Fig. 1. Dual optical target recognition data processing flow
    Original image
    Fig. 2. Original image
    Binary image
    Fig. 3. Binary image
    Results of the first digital morphological processing
    Fig. 4. Results of the first digital morphological processing
    Large expansion calculation results of the main laser target
    Fig. 5. Large expansion calculation results of the main laser target
    The detailed parameters of two BLOB regions with the largest areas
    Fig. 6. The detailed parameters of two BLOB regions with the largest areas
    Schematic diagram of target recognition process
    Fig. 7. Schematic diagram of target recognition process
    Target recognition results
    Fig. 8. Target recognition results
    Original images
    Fig. 9. Original images
    Preprocessed images
    Fig. 10. Preprocessed images
    Detect template edge image results from the left
    Fig. 11. Detect template edge image results from the left
    Detect the result of the edge image to be recognized from the left
    Fig. 12. Detect the result of the edge image to be recognized from the left
    Searching for the best matching sequence in the edge image to be recognized
    Fig. 13. Searching for the best matching sequence in the edge image to be recognized
    Judging whether the image to be recognized is adhesive image from four directions
    Fig. 14. Judging whether the image to be recognized is adhesive image from four directions
    Region segmentation effect of adhesive image
    Fig. 15. Region segmentation effect of adhesive image
    Optical target recognition results for 5 different butt collimation images
    Fig. 16. Optical target recognition results for 5 different butt collimation images
    Identification process and results of a single valid target
    Fig. 17. Identification process and results of a single valid target
    Identification process and results of different adhesive images
    Fig. 18. Identification process and results of different adhesive images
    No.AreaCenterLenx/LenyRegion
    FirstSecondFirstSecondFirstSecond*First XSecond Y
    110 05310 857(140,154)(139,155)(132,126)(135,129)*(4,274)(26,284)
    24 0065 964(424,272)(425,274)(95,86)(101,89)*(324,526)(184,362)
    3122356(454,302)(416,215)(19,14)(43,20)(373,459)(194,234)
    4109170(424,211)(425,222)(23,7)(23,9(402,448)(213,231)
    570106(425,222)(421,322)(17,6)(16,8(404,436)(313,329)
    63380(421,321)(449,326)(10,5)(15,8)(433,463)(318,334)
    72779(403,221)(484,271)(9,7)(10,9)(474,494)(261,279)
    81528(484,270)(365,273)(4,6)(8,5)(356,372)(268,278)
    9823(449,325)(395,312)(6,3)(6,4)(389,401)(307,315)
    Table 1. First and second BLOB statistics comparison of BLOB details
    No.AreaCenterLenx/Lenymng_flagiRegionXY
    110 857(139,155)(135,129)3(4,26)(274,284)(4,274)(26,284)
    25 964(425,274)(101,89)3(324,526)(184,362)(324,526)(184 362)
    3356(416,215)/0///
    4170(425,222)/0///
    5106(421,322)/0///
    680(449,326)/0///
    779(484,271)/0///
    828(365,273)/0///
    923(395,312)/0///
    Table 2. Comparison of target recognition results
    No.CenterRegionIs the center in a region?Blobcount statisticsRecognition flagRecognition results
    No.1No.2No.1No.2
    1(139,155)4 274][26 284]YesNo101Analog laser*
    2(425,274)[324 526][184 362]NoYes012Main laser*
    3(416,215)[374 195][460 235]NoYes01//
    4(425,222)[403 214][246 232]NoYes01//
    5(421,322)[405 314][338 330]NoYes01//
    6(449,326)[434 441][464 335]NoYes01//
    7(484,271)[483 262][494 280]NoYes01//
    8(365,273)[357 268][373 278]NoYes01//
    9(395,312)[389 308][318 316]NoYes01//
    Total////1**//
    Table 3. Decision process of target recognition
    No.Detect directionTemplate edge imageBest match serialIs adhesive image
    Start posLenStart posCorr coefficientjoinleft…joindown
    1LeftY=107129Y=820.999 01Yes
    2RightX=107129X=990.924 60
    3UpY=118134Y=680.988 51
    4DownX=118107X=680.991 31
    Table 4. Four directions to determine whether the image to be recognized is an adhered image
    No.Two largest BLOBTwo largest BLOB centersFull BLOBCenter in blobcount with two regionsRecognition result
    No.1No.2No.1No.2

    No.1

    blobcount1

    No.2

    blobcount2

    No.1No.2
    111 2341 690(239,235)(473,242)615Analog laserMain laser
    214 0551 203(165,305)(378,246)624Analog laserMain laser
    310 8575 964(139,155)(425,274)918Analog laserMain laser
    414 3042 012(431,152)(186,423)312Analog laserMain laser
    56 0311 990(425,274)(195,424)1091Main laserAnalog light
    Table 5. Optical target recognition results for 5 different butt collimation images
    No.Image nameBinarizationCorrosionExpansionFeature extractionTarget separationTime
    1Image1.bmp0.0160.2340.2190.0780.1090.656
    2Image2.bmp0.0940.0630.1870.0470.0940.485
    3Image3.bmp0.0940.1410.2180.0940.1560.703
    4Image4.bmp0.0160.0630.1870.0470.0310.344
    5Image5.bmp0.0160.0630.2810.0940.1560.610
    Mean/0.047 20.112 80.218 40.070 50.109 20.559 6
    Table 6. Processing time performance analysis of multi-optical target recognition algorithm
    Correlation coefficientjoin_flags in 4 directionsjoin flagsingle flagRecognize result
    Adhesion image

    rleft=0.999 0

    rright=0.924 6

    rup=0.988 5

    rdown=0.991 3

    joinleft=1

    joinright=0

    joinup=1

    joindown=1

    11Single adhesion image
    Analog laser image

    rleft=0.999 3

    rright=0.999 0

    rup=0.999 7

    rdown=0.995 2

    joinleft=1

    joinright=1

    joinup=1

    joindown=1

    02Single main light target
    Master laser image

    rleft=0.566 2

    rright=0.818 9

    rup=0.789 2

    rdown=0.887 7

    joinleft=0

    joinright=0

    joinup=0

    joindown=0

    03Single analog laser target
    Table 7. Single valid target recognition process parameters
    Correlation coefficientjoin_flags in 4 directionsIs adhesive image
    Image1.bmp

    rleft=0.999 3

    rright=0.903 9

    rup=0.855 1

    rdown=0.994 6

    joinleft=1

    joinright=0

    joinup=0

    joindown=1

    Yes
    Image2.bmp

    rleft=0.999 5

    rright=0.926 2

    rup=0.990 2

    rdown=0.963 9

    joinleft=1

    joinright=0

    joinup=1

    joindown=1

    Yes
    Image3.bmp

    rleft=0.999 8

    rright=0.922 1

    rup=0.910 4

    rdown=0.930 9

    joinleft=1

    joinright=0

    joinup=0

    joindown=0

    Yes
    Image4.bmp

    rleft=0.967 1

    rright=0.990 0

    rup=0.999 7

    rdown=0.922 4

    joinleft=1

    joinright=1

    joinup=1

    joindown=0

    Yes
    Image5.bmp

    rleft=0.966 4

    rright=0.989 4

    rup=0.999 7

    rdown=0.919 5

    joinleft=1

    joinright=1

    joinup=1

    joindown=0

    Yes
    Table 8. Recognition process parameters of different adhesive images
    Wenxuan HE, Zhengzhou WANG, Jitong WEI, Li WANG, Dongchi YI. Dual Optical Target Recognition Method for Collimated Images Based on BLOB Region and Edge Feature Analysis[J]. Acta Photonica Sinica, 2024, 53(2): 0210001
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