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基于線(xiàn)陣CCD圖像亞像素級別邊緣檢測方法
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中圖分類(lèi)號:TP23???????????????? 文獻標識碼:A
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    摘要:

    研究線(xiàn)陣CCD采集一維圖像亞像素級別邊緣檢測方法。該方法經(jīng)過(guò)圖像平滑濾波、基于梯度算子邊緣粗定位、擬合區間搜索、最小二乘直線(xiàn)擬合邊緣精確定位幾個(gè)步驟,定位出線(xiàn)陣CCD圖像邊緣位置。圖像采集卡(FPGA)接收圖像處理卡(DSP)下發(fā)的控制指令,接收CCD圖像數據,并且負責圖像數據的平滑濾波和梯度值計算,粗定位出邊緣位置,然后把邊緣粗位置坐標,以及截取粗定位的邊緣點(diǎn)附近段數據上傳給圖像處理卡,以供后者進(jìn)行下一步擬合區間搜索和最小二乘擬合精確定位出邊緣位置。通過(guò)圖像采集卡的前期處理,可以大大減少其與圖像處理卡之間的通訊數據量,FPGA+DSP這種分工處理模式發(fā)揮了各自處理芯片的優(yōu)勢,大大提高了運算處理效率。實(shí)驗結果表明,該算法檢測精度達到亞像素級別,3σ小于0.5像素,處理時(shí)間小于90μs。

    Abstract:

    This study was focused on a subpixel-level edge detection method for linear CCD images. The method detected the edge position of the array ccd image via several steps of image smooth filtering, edge coarse orientation based on gradient operator, fitting region searching and edge precise orientation based on least square straight-line fitting. The image acquisition card (FPGA) received the CCD image data after receiving the control command sent by the image processing card (DSP), and was responsible for the smooth filtering and gradient value calculation, positioning the rough edge coordinate, and then passed the coordinate and the data around it to the image processing card for the next fitting interval searching and the fine edge positioning. Through the early processing of the image acquisition card, the amount of communication data between it and the image processing card could be greatly reduced. This division of processing mode between FPGA and DSP took the advantages of their respective processing chips and greatly improved the processing efficiency. The experimental results proved the edge detecting precision had achieved sub-pixel level, 3σ was less than 0.5 pixel, the processing time was less than 90μs.

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黃春霞.基于線(xiàn)陣CCD圖像亞像素級別邊緣檢測方法計算機測量與控制[J].,2022,30(10):45-50.

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歷史
  • 收稿日期:2022-05-09
  • 最后修改日期:2022-06-02
  • 錄用日期:2022-06-02
  • 在線(xiàn)發(fā)布日期: 2022-11-01
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