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In this paper, a simple image retrieval based enteromorpha prolifera detection method is introduced. First, the enteromorpha images are converted into NTSC space from RGB color space and are then separated into enteromorpha and background class by means of k-means algorithm. Then, all those images which only consist of enteromorpha class are stored as sample images. Next, in the stage of detection,...
In this paper, we introduce a simple automatic color enteromorpha image segmentation algorithm. First, the color images are converted from RGB into NTSC color space. Then, we scale the data of the saturation channel in NTSC color space to the range of 0-255 and obtain its histogram. Using this histogram, we can obtain two peaks in the enteromorpha and background class respectively. Thus, two positions...
In this paper, we introduce a simple approach for detecting enteromorpha based on statistical learning of image features using support vector machines (SVM). The approach first classifies an enteromorpha image into two classes: enteromorpha and background. Then it extracts features from those two classes and uses them for training the SVM model. Finally, the predicting process is carried out in a...
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