In this paper, a novel feature descriptor, local texton XOR patterns (LTxXORP) is proposed
for content-based image retrieval. The proposed method collects the texton XOR pattern …

The use of computer vision systems to monitor flotation froths hass become widely
established over the last few decades. Features extracted from images of the froth can be …

This paper first introduces á trous wavelet correlogram feature descriptor for image
representation. By further extension in this descriptor, á trous gradient structure descriptor …

A large number of growing digital images require retrieval effectively, but the trade‐off
between accuracy and speed is a tricky problem. This paperwork proposes a lightweight …

Satellite image data classification is crucial for categorizing pixels into meaningful classes.
While traditional reliance on spectral information has limitations, a shift to textural features …

Abstract Content based Image Retrieval (CBIR) is the process of searching resembling
images based on the content of query image (QI), like color, texture, shape, etc. The goal of …

In this paper, a new method, directional line edge binary pattern (DLEBP) is proposed for
image indexing and retrieval. This method is the extension of line edge binary pattern …

In this paper, a new algorithm known as Line Edge Binary Pattern (LEBP) is proposed for
Content-Based Image Retrieval (CBIR). The proposed method represents the local region of …

In this chapter authors introduces content-based image retrieval systems and compares
them over a common database. For this, four different content-based local binary descriptors …

En la actualidad la implementación de sistemas de recuperación de imágenes basadas en
contenido (CBIR) ha permitido implementar múltiples aplicaciones en diversas áreas …