2 research outputs found
Texture features in medical image analysis: a survey
The texture is defined as spatial structure of the intensities of the pixels
in an image that is repeated periodically in the whole image or regions, and
makes the concept of the image. Texture, color and shape are three main
components which are used by human visual system to recognize image contents.
In this paper, first of all, efficient and updated texture analysis operators
are survived with details. Next, some state-of-the-art methods are survived
that use texture analysis in medical applications and disease diagnosis.
Finally, different approaches are compared in terms of accuracy, dataset,
application, etc. Results demonstrate that texture features separately or in
joint of different feature sets such as deep, color or shape features provide
high accuracy in medical image classification