Information from an image occurs over multiple and distinct spatial scales. Image pyramid
multiresolution representations are a useful data structure for image analysis and …

In the field of machine learning and pattern recognition, the use of binary correlation indices
is essential for accurate prediction and modelling. This work presents a novel evolutionary …

In industrial applications based on texture classification, efficient and fast classifiers are
extremely useful for quality control of industrial processes. The classifier of texture images …

The analysis of textures is an important task in image processing and computer vision
because it provides significant data for image retrieval, synthesis, segmentation, and …

Texture descriptors have been quite popular in medical image analysis, particularly in
histopathologic images (HIs), due to the variability of the texture found in such images and …

Texture, a crucial element in image recognition, presents challenges in computer vision
tasks like segmentation and classification. This study aims to introduce a novel approach to …

Image description via robust local descriptors plays a vital role in a large number of image
representation and matching applications. In this paper, we propose a novel distinctive local …

The education system in Indonesia has undergone many changes. The change is due to
various reform efforts in the world of education. E-Module can be used as an alternative …

Breast cancer is a health problem that affects mainly the female population. An early
detection increases the chances of effective treatment, improving the prognosis of the …

Breast cancer is a neoplasm resulting from the multiplication of abnormal cells in the breast
tissue that initially form nodules or thickening. The survival of patients with the disease can …