In the previous chapter, we have presented the method for feature extraction of medicinal plants images of reasonably grown plants and their parts, leaves using geometrical shape and texture features. Using these features it is necessary to identify and classify the medicinal plants. In this chapter, we have presented classification of the medicinal plants through the developed features. Identi...

Textural patterns can often be used to recognize familiar objects in an image or retrieve images with similar texture from a database. Texture patterns can provide significant and abundance of texture and shape information. One of the recent significant and important texture features called Texton represents the various patterns of image which is useful in texture analysis. The present paper is...

Surface texturing is used to increase hydrodynamic pressure and reduce friction and wear between parallel sliding surfaces in a variety of applications. The shape, geometry, and density of the patterned microtexture features play a key role in the tribological performance of such textured slider bearings. Lubrication models are used to predict the load-carrying capacity, friction coefficient, a...

The potential of hand shape and hand texture-based biometry is investigated and algorithms are developed. Feature extraction stage is preceded by meticulous registration of the deformable shape of the hand. Alternative features addressing hand shape and hand texture are compared. Independent component analysis features prove to be the best performing in the identification and verification tasks...

The present paper derived shape features on textons and texture orientation for rotation invariant stone texture classification of 2D images. To overcome the sensitive problems and to derive rotational invariant features on textons the present research represented textons on texture orientation matrix by reducing grey level range using a fuzzy logic. The proposed Texture orientation matrix (TOM...

In this paper, we focus on the problem of detecting the head of cat-like animals, adopting cat as a test case. We show that the performance depends crucially on how to effectively utilize the shape and texture features jointly. Specifically, we propose a two step approach for the cat head detection. In the first step, we train two individual detectors on two training sets. One training set is n...