Plants Images Classification Based on Textural Features using Combined Classifier
نویسنده
چکیده
Image classification plays an important role in many applicable fields in our life, such as image analysis, remote sensing, and pattern recognition [9]. It can be defined as the process of sorting all the pixels in an image into a finite number of individual classes[5]. There are many types of techniques which can be used to classify and recognize different types of objects in images. For conventional statistical approaches for land cover classification, they only use the gray values of the image to detect and classify objects. They lead to misclassification due to the strictly convex boundaries. The textural features can be included for better classification but they are inconvenient for the conventional methods. On the other hand, artificial neural networks (ANNs) can handle non-convex decisions [6]. The uses of textural features help to resolve misclassification.
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