CAJ | 학술논문

针对图像受近红外光线参与的影响而出现偏色现象，介绍了一种基于RGB色彩空间的四带(RGB带和一个附加的近红外带)树木图像颜色校正方法。该方法首先根据 R-G 差值图像，通过实验获取合适的阈值将四带树木图像二值化。然后，利用中值滤波器和数学形态学对二值图像进行滤噪处理，提取出偏色较严重区域。最后分区域进行颜色校正，达到消除近红外干扰的目的。实验结果表明，该方法对部分常见含植物的场景图像有比较好的校正效果。
침대도상수근홍외광선삼여적영향이출현편색현상，개소료일충기우RGB색채공간적사대(RGB대화일개부가적근홍외대)수목도상안색교정방법。해방법수선근거 R-G 차치도상，통과실험획취합괄적역치장사대수목도상이치화。연후，이용중치려파기화수학형태학대이치도상진행려조처리，제취출편색교엄중구역。최후분구역진행안색교정，체도소제근홍외간우적목적。실험결과표명，해방법대부분상견함식물적장경도상유비교호적교정효과。
A color correction algorithm for four-band (the RGB bands and an additional near-infrared spectrum) tree image based on RGB color space is proposed to correct the images which influenced by near-infrared spectrum. Firstly, based on the difference of R band and G band in the image, obtaining the best binarization threshold of four-band image through the experiment. Second, using the median filter and mathematical morphology to de-noise the binary images, and extracting the area which severely polluted by the near-infrared spectrum. At last, correcting images in different areas with different method, eliminating near-infrared pollutions in the image. The experimental results show that, the algorithm has good correction effect for the images which include plants.