Tomato Disease Image Retrieval Based on Composite Features
Qian Zhang, Feng Yu, Xin Liu, Jun Feng Zhang · Applied Mechanics and Materials · 2014
A new method of tomato disease image retrieval was proposed, which based on the composite feature extraction of disease images. The feature was converted to a set of hash sequence. This retrieval method can reflect the image content in a better way for the comprehensive application of color, texture and shape features. The digital index of image through perception hash algorithm processing can retrieval images and return the result more rapidly.