Feature description is a fundamental process in the analysis of images for content-based retrieval and classification, among other tasks in which the image feature descriptor should have enough discriminative power to differentiate similar from dissimilar images according with a distance measure. Although several descriptors have been proposed for a variety of images, the challenge is their suitability to solve these tasks efficiently. One proposal is the set of standard MPEG-7 visual descriptors. We address their suitability to efficiently describe plagues and diseases in images of maize plants. The importance of this crop is its worldwide relevance for human and animal consumption. Experiments for similarity search queries using a set of distance measures, show that the Color Structure Descriptor with the Bray-Curtis distance is the most efficient and provides around 68% precision in most cases.

中文翻译：

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对玉米瘟疫和疾病图像的 MPEG-7 视觉描述符的评估

特征描述是基于内容的检索和分类的图像分析中的基本过程，其中图像特征描述符应该具有足够的辨别力，以根据距离度量区分相似图像和不同图像。尽管已经为各种图像提出了几种描述符，但挑战在于它们是否适合有效地解决这些任务。一个提议是一组标准的 MPEG-7 视觉描述符。我们解决了它们在玉米植物图像中有效描述瘟疫和疾病的适用性。这种作物的重要性在于它与人类和动物消费的全球相关性。使用一组距离度量进行相似性搜索查询的实验，