Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

Just over a decade has passed since the concept of morphological profile was defined for
the analysis of remote sensing images. Since then, the morphological profile has largely …

Image segmentation is a prerequisite for image processing. There are many methods for
image segmentation, and as a result, a great number of methods for evaluating …

Although multiresolution segmentation (MRS) is a powerful technique for dealing with very
high resolution imagery, some of the image objects that it generates do not match the …

Land cover map** via image classification is sometimes realized through object-based
image analysis. Objects are typically constructed by partitioning imagery into spatially …

This paper investigates the reliability of free and open-source algorithms used in the
geographical object-based image classification (GEOBIA) of very high resolution (VHR) …

Chest X-ray (CXR) is a low-cost medical imaging technique. It is a common procedure for
the identification of many respiratory diseases compared to MRI, CT, and PET scans. This …

Most object-based image analysis use parameters to control the size, shape, and
homogeneity of segments. Because each parameter may take a range of possible values …

Segmentation of remote sensing images is a critical step in geographic object-based image
analysis. Evaluating the performance of segmentation algorithms is essential to identify …

In this study, a multi-scale approach was used for classifying land cover in a high resolution
image of an urban area. Pixels and image segments were assigned the spectral, texture …