Leaf Image-Based Plant Disease Identification Using Color and Texture Features

Plant Image Retrieval Using Color, Shape and Texture Features

We present a content-based image retrieval system for plant image retrieval, intended especially for the house plant identification problem. A plant image consists of a collection of overlapping leaves and possibly flowers, which makes the problem challenging. We studied the suitability of various wellknown color, shape and texture features for this problem, as well as introducing some new text...

Image Grouping Using Color and Texture Features

This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is fnished, the process is as follows: quantifying the color space in non-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative histogram. Similarly, the work of texture ...

Content Based Leaf Image Retrieval (cblir) Using Shape, Color and Texture Features

This paper proposes an efficient computer-aided Plant Image Retrieval method based on plant leaf images using Shape, Color and Texture features intended mainly for medical industry, botanical gardening and cosmetic industry. Here, we use HSV color space to extract the various features of leaves. Log-Gabor wavelet is applied to the input image for texture feature extraction. The Scale Invariant ...

Content-based image retrieval using color and texture fused features

A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words. Content Based Image Retrieval (CBIR) deals with ret...

Content Based Image Retrieval Using Color and Texture Features