This paper presents a scheme for feature extraction that can be applied for classification of
corals in submarine coral reef images. In coral reef image classification, texture features are …

This study reports a machine vision system for the identification of the visual symptoms of
plant diseases, from coloured images. Diseased regions shown in digital pictures of cotton …

Marine imaging is transforming into a sensor technology applied for high throughput
sampling. In the context of habitat map**, imaging establishes thereby an important bridge …

This paper presents a novel image classification scheme for benthic coral reef images that
can be applied to both single image and composite mosaic datasets. The proposed method …

Seafloor habitat map** plays an important role in marine environmental protection and
marine database management. Multibeam echo-sounding system (MBES) has unique …

Color texture classification has been an area of intensive research activity. From the very
onset, approaches to combining color and texture have been the subject of much …

An analytical strategy combining fractal geometry and grey-level co-occurrence matrix
(GLCM) statistics was devised to investigate ultrastructural changes in oestrogen-insensitive …

This paper is concerned with the application of active contour methods to unsupervised
binary segmentation of high-resolution sonar images. First, texture features are extracted …

Coral reef image classification with the help of its texture features is a challenging task, due
to its variation in class samples. This is achieved with the proposed feature descriptor …

In this paper, a novel feature descriptor named Z with Tilted Z Local Binary Pattern (Z⊕
TZLBP) is proposed for extracting coral reef image features efficiently. The aim is to reduce …