Detection of Rice Leaf Diseases Using Chaos and Fractal Dimension in Image Processing

V.Surendrababu; Dr.C.P.Sumathi; E.Umapathy

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Detection of Rice Leaf Diseases Using Chaos and Fractal Dimension in Image Processing

机译：利用混沌和分形维数在图像处理中检测稻叶病

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A novel method for detecting rice leaf disease using image processing technique called fractal dimension and chaos theory is proposed in this paper. The analysis of a diseased leaf is carried out according to its image pattern and fractal dimension, and especially box-counting ratio calculation, and chaos, are applied to be able to identify the disease pattern?s self-similarity and to recreate the fractal. The image?s self-similarity is the disease infected one which is same as when it is fully infected. This method is proposed as preliminary information for the development of an early detection system or for developing knowledge based expert system or decision support system.

机译：提出了一种利用分形维数和混沌理论的图像处理技术检测稻叶病的新方法。根据病叶的图像模式和分形维数进行分析，尤其是计算盒数比和进行混沌处理，以识别病害模式的自相似性并重现分形。图像的自相似性是一种被感染的疾病，与完全感染时相同。提出该方法作为开发早期检测系统或开发基于知识的专家系统或决策支持系统的初步信息。

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《International Journal on Computer Science and Engineering》 |2014年第1期|共6页
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V.Surendrababu; Dr.C.P.Sumathi; E.Umapathy;
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中图分类自动化技术、计算机技术;
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Detection of Rice Leaf Diseases Using Chaos and Fractal Dimension in Image Processing

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