基于计算机图像处理技术评估杉木和马尾松种子活力

    Seed vigor assessment for Cunninghamia lanceolata and Pinus massoniana using image processing

    • 摘要: 摘要:为实现林木种子活力快速自动化检测,该文以杉木和马尾松各5个批次种子为对象,研究种子活力评估的计算机图像处理方法。首先,种子于蓝色发芽纸上垂直发芽,播种6 d后通过普通数码相机连续拍照5 d。然后,获取的图像经自主开发的幼苗长度分析软件测量幼苗长度并计算生长速率。结果表明:计算机识别的幼苗长度和生长速率能较好地区分种子批的质量水平,该结果与田间检测结果基本一致,但最佳识别指标因物种不同而异。播种6 d幼苗长度(SL6)和播种9 d幼苗长度(SL9)均是评估杉木种子活力的最佳指标,播种10 d幼苗长度(SL10)和幼苗生长速率(GS)均是评价马尾松种子活力的最佳指标。研究结果表明,采用计算机图像处理技术测定幼苗长度和生长速率评估杉木和马尾松种子活力是切实可行的。该研究可为小粒植物种子活力评估提供参考。

       

      Abstract: In order to determine seed vigor of forest tree rapidly and automatically, five-lot seeds of China fir and masson pine were used to study the assessment methods of seed vigor by using computer image processing. Firstly, images were captured by a common digital camera from germinated seeds which grew upright on blue germination paper. Then, seedling growth was measured daily for 5 days since 6th day after sowing (DAS) using self-developed seedling length calculating software. The results showed that the seedling length and growth rate generally ranked seed quality in a similar trend compared with field test, and the optimal computer recognition indices were species dependent. Seedling lengths at 6th, 9th DAS (SL6, SL9) were the optimal indices to assess seed vigor of China fir. Seedling length at 10th DAS (SL10) and growth speed (GS) were the optimal indices to assess seed vigor of masson pine. In general, it was feasible to assess seed vigor of China fir and masson pine by using computer image analysis of seedling length and growth rate. The research can provide a reference for seed vigor assessment of small-seed species.

       

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