发芽
胚乳
苗木
胚胎
侵染
生物
园艺
数字图像
图像处理
材料科学
计算机科学
植物
人工智能
图像(数学)
细胞生物学
作者
Mrinal Ruprao Sawarkar
出处
期刊:International Journal of Advanced Research in Computer Science
[IJARCS International Journal of Advanced Research in Computer Science]
日期:2017-06-20
卷期号:8 (5): 811-815
标识
DOI:10.26483/ijarcs.v8i5.3429
摘要
In this paper we used digital image processing for germination from X-ray images of cotton seeds. Germination is the process by which a plant grows from a seed. The methods discussed in this paper are internal damages, embryo, and percentage of germination of cotton seeds. The recent development of digital image processing techniques for monitoring cotton seed germination has been done. X-ray analysis can be used to determine the quality of cotton seeds, showing the cause of bad germination. X-ray images provide information on the internal structure and morphology of seeds, mechanical damage, and percentage of empty and filled seeds, micro fractures, possible embryo deformations and insect infestation. This paper various digital image processing techniques which reduces the labour input required to evaluate seedling growth rate and increases the accuracy of these measurements. X-ray photographs were prepared with Faxitron 43805N X-ray Film exposed at 10kev, 2mA(soft X-ray) at a distance of 35cm from the X-ray source for 2min. X-ray photographs were evaluated based on embryo morphology and the presence of endosperm. Embryo morphology was scored as either normal or abnormal.
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