KEYWORDS: Image segmentation, RGB color model, Image processing, Image acquisition, FDA class II medical device development, FDA class I medical device development, Image filtering, Cameras, Image quality, Image processing software
[Objective] According to the shortcomings of existing detection techniques, this paper proposes a new method based on SVM (Support Vector Machine) and weighted Euclidean distance detection to improve the detection accuracy of sprouted potatoes. [Method] Firstly, the original image of potato was obtained based on industrial camera, gray image and median filtering were used to ensure the image quality of the image, then B and H component training SVM classifiers were extracted in RGB color space and HSV color space respectively. After this, the well-trained SVM classifier was used to segment the potato image and background. Finally, the weighted Euclidean distance and morphology method were adopted to detect and mark the potato germination site. [Results] Under the help of the MatlabR2014a software platform, the weighted Euclidean distance and the traditional Euclidean distance method were employed to test the I and II potato samples. The experimental results reveal that the average recognition rate of the weighted Euclidean distance method is 90.6%, compared with 88.4% of the traditional Euclidean distance which indicates that the recognition rate of the method in this paper is higher, and the detection effect on the germinated potato is better.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.