We present a Size-Intensity Diagram, based on a gray-scale granulometry. For this we use a cylindrical structuring function with two varying parameters: the radius r and the height (or intensity) k. The measurement associated with this gray-scale granulometry is based on the volume measurement commonly used in the classical gray-scale granulometry. The proposed diagram is therefore a bidimensio...

In this paper we present a method to predict the window size when determining the local granulometry for a structural texture image set. The proposed method is based on the concept of periodicity property of structural texture images. It suggests that one may choose the minimum odd number not less than the maximum periods of texture images as a window size. q 1998 Elsevier Science B.V. All righ...

In this paper we have applied a known algorithm; Granulometry, to evaluate and classify blood smear elements. The aim of current work is to analyze Granulometry output in hematology science, furthermore, the accuracy of Granulometry based on medical knowledge and intrinsic characters of particles such as agglutination, edge fracture side effects are discussed and finally we have tried to reach ...

The identification of glandular tissue in breast X-rays (mammograms) is important both in assessing asymmetry between left and right breasts, and in estimating the radiation risk associated with mammographic screening. The appearance of glandular tissue in mammograms is highly variable, ranging from sparse streaks to dense blobs. Fatty regions are generally smooth and dark. Texture analysis pro...

Evidence of the AD 1755 tsunami consisting of the same type of accretions produced by the re-deposition of earlier sediments, has been recorded at three different height along the coast of Gibraltar: Along a shallow sandy shore, the tsunami wave reached a run-up of 2–3 m, whereas along steep, cliff–lined shores (Rosia Bay) it surpassed 5 m. An overwash deposit was also identiied at the bottom o...

This paper presents the results of using the shape, size and color features of an image for content-based image retrieval. The use of granulometries has been applied to model the size and shape of the connected components of the image. Granulometry are computed by successively sieving an image using filters of increasing size parameter so that information can be obtained about the components th...

We introduce a noise-tolerant segmentation algorithm efficient on 3D multiscale granular materials. The approach uses a graphbased version of the stochastic watershed and relies on the morphological granulometry of the image to achieve a content-driven unsupervised segmentation. We present results on both a virtual material and a real X-ray microtomographic image of solid propellant.

This paper describes an efficient framework for image-based granulometry, which provides three main contributions. First, unlike most of the existing work on particle delineation, which is based on the use of detected edges, our method-a regionbased approach-relies on the use of mathematical morphology techniques. Second, we have explored the use of motion in order to recover the visible volume...

Multiscale methods which provide a decomposition of an image based on scale have many uses in image analysis. One class of such methods from mathematical morphology is based on size distributions or granulometries. In this paper a different type of image decomposition based on shape but not scale is proposed. Called a shape granulometry or shape distribution, it is built from a family of morpho...