The successful application of univariate morphological operators on several domains, along
with the increasing need for processing the plethora of available multivalued images, have …

This paper provides an alternative method for creating an optimal subset from features
which in turn represent the whole features through improving the moth-flame optimization …

Texture information plays an important role in image analysis. Although several descriptors
have been proposed to extract and analyze texture, the development of automatic systems …

In this paper, we present the results of applying global morphological texture descriptors to
the problem of content-based remote sensing image retrieval. Specifically, we explore the …

In this article, we present an extensive evaluation of visual descriptors for the content-based
retrieval of remote-sensing (RS) images. The evaluation includes global hand-crafted, local …

Plant disease classification has been associated with the production of essential food crops
and human society. In this paper, we classify tomato plant disease using two different …

Color texture classification has been an area of intensive research activity. From the very
onset, approaches to combining color and texture have been the subject of much …

This paper introduces a new texture analysis scheme, which is invariant to local geometric
and radiometric changes. The proposed methodology relies on the topographic map of …

The recognition of color texture under varying lighting conditions remains an open issue.
Several features have been proposed for this purpose, ranging from traditional statistical …

Galaxy classification has an important role in understanding the formation of galaxies and
the evaluation of our universe. Most of the machine learning methods were used to improve …