Detection of static objects in an image using texture analysis

The article deals with the design of a method for the automatic detection of static objects in the image captured by an optical microscope. The search algorithm for static objects in the image - non-moving cilia is based on texture description methods. The texture of the image is described by statistical values, where it can be noticed that background texture, cells and cilia have different mathematical statistical parameters. Just based on the different statistical parameters of the textures, the classification for each texture parameter was done separately. As a result, the resulting classification takes into account the most predominant group to which the pixel has been assigned. The output from the algorithm is a mask, where the original image is overlayed by the obtained mask and cilia area is contoured. (C) 2019 The Authors. Published by Elsevier B.V.