| Summary: | 碩士 === 國立屏東科技大學 === 土木工程系所 === 101 === The green landscaping works for the environmental engineering applications, and the transformation of an integral part of the project, which grass is the basic element in the project execution. The main purpose of this paper is to use generally commercially available digital camera and image analysis software ImageJ establishing a simple analysis method for estimating the grass survival rate, as the greening project quality management and acceptance of reference.
In this research, we use the Image segmentation, the Color transform and the Threshold method to process the images of grass. As the Image segmentation is the basis for image recognition, the choice of the methods of the color model and the threshold are the keys that affect the quality of image. As the result, before this study set up a reliable and objective Image processing and analysis method, we have to use the appropriate the Color model and the Threshold method first, to get the best results of image processing and analysis.
To filter and assess objectively the best method of Image segmentation from the Color models and the Threshold method that provide by the image analysis software ImageJ, this study use the method of filtering below to assess:
(1)With the different conditions of indoor-shooting, statistics and analysis the standard deviation of the greyscale value of the bare soil image; according to the score of the standard deviation, filtering the reliability to recognize the feature of bare soil with the component of the Color models.
(2)With the same conditions of indoor-shooting, statistics and analysis the greyscale value of grass image and the correlation coefficient of the growth days of grass; base on the score of the correlation coefficient, filtering how the color model component to the greenness variation of recognize grass growth images and the sensitivity of recognize grass green feature.
(3)End up with comparing the grass survival rate came out from the image analysis software ImageJ and the value came out from Point frame method, and base on the absolute error, the average absolute error and image segmentation quality to filter the feasibility and the accuracy of image processing and analysis system and image segmentation.
After objectively statistics, filter and assess, we can tell that in the color model Lab, color model component ‘a’ has the lowest standard deviation and the highest correlation coefficient and that shows the color model component ‘a’ has some kind of reliability and sensitivity; with the combination of the color model component ‘a’ with the threshold method to estimates the outdoor grass survival rate, the absolute error value is between 0.057% to 6.052%, and the average absolute error (MAPE) is under 5%, shows that the image processing method established here has a confidence accuracy and also has a practical value to the practices.
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