Interwoven texture-based description of interest points in images

Content Based Image Retrieval Using Interest Points and Texture Features

Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. In this work we present methods for content based image retrieval based on texture similarity using interest points and Gabor features. Interest point detectors are used in computer vision to detect image points with special properties, which can be geometric (corn...

Content Based Image Retrieval Using Interest Points and Texture Features

Interest Points Detection in Color Images

This paper presents a new interest point detector for color images. It is based on a non linear filtering of the image which preserves edges, and on the use of a color point detector based on the Harris detector. We present how does interest points detectors work to justify the use of this filtering. We compare it with the Harris detector under the criteria of repeatibility, information content...

Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods

In many biological studies, scientists assess effects of experimental conditions by visual inspection of microscopy images. They are able to observe whether a protein is expressed or not, if cells are going through normal cell cycles, how organisms evolve in different experimental conditions, etc. But, with the large number of images acquired in high-throughput experiments, this manual inspecti...

Morphological texture description of grayscale and color images

Texture constitutes one of the fundamental properties of objects, besides color and shape. In several image analysis applications it is often the only exploitable quality of objects. As such, it has been studied, described, segmented, synthesized or in short analyzed, extensively. Among the plethora of texture description methods, mathematical morphology deserves special attention, as it excels...