We introduce an algorithm for active contour segmentation in which the level set function encoding the contour is processed by median filtering using morphological amoebas. These are adaptive structure elements introduced by Lerallut et al. which can be combined with different morphological operations. Recently it has been proven that iterated amoeba median filtering of an image approximates th...

In all-optical processors, enhancement of image details is the result of high-pass filtering. We describe an optoelectronic processor in which detail enhancement results from the digitally calculated difference between an original input image and its low-pass filtered version. The low-pass filtering is realized through the rank-order median and the morphological opening and closing operations c...

In this paper, we use vertically invariant morphological filters for time-varying or adaptive signal processing. The morphological filters adopted in this paper are vertically invariant openings and closings. Vertically invariant openings and closings have intuitive geometric interpretations and can provide different filtering scales with respect to different spacial positions. Hence, they are ...

AIM To determine whether thermography can be used to evaluate bleb function. METHODS The surface temperatures of filtering blebs from 39 eyes of 33 post-trabeculectomy patients were measured using thermography. We introduced a new parameter: the temperature decrease in the filtering bleb (TDB) where TDB = (mean temperature of the temporal and nasal bulbar conjunctiva)-(temperature of the filt...

This report examines properties of two main methods used for local background estimation in microarray images. The first method uses samples from local regions defined such that they supposedly contain only background pixels; we call this a region method. This method is implemented in the Axon GenePix Pro software. The second method uses filtering techniques that removes the bright spots from t...

In order to eliminate the pulse and noise interference of the weak signal, a filtering algorithm based on the composite cascade mathematical morphology is investigated in this paper, which mainly includes the principle analysis of morphological filter, the structure design of the filter element, and the construction of the composite cascade mathematical morphology. Finally, by simulation analys...

We show that an adaptive robust filtering based image segmentation model can be used for microvasculature network detection and quantitative characterization in epifluorescence-based high resolution images. Inhomogeneous fluorescence contrast due to the variable binding properties of the lectin marker and leakage hampers accurate vessel segmentation. We use a robust adaptive filtering approach ...

This paper describes a novel approach to color image morphing which is based on the combination of morphological image processing tools and linear filtering. In the proposed method the morphing engine is provided by the morphological interpolation by means of the morphological median. By the successive generation of morphological medians using an algorithm proposed in the paper, the sequence tr...

Morphological connected set filters for extraction of filamentous details from medical images are developed. The advantages of these filters are that they are shape preserving and do not amplify noise. Two approaches are compared: (i) multi-scale filtering (ii) single-step shape filtering using connected set (or attribute) thinnings. The latter method highlights all filamentous structure in a s...

Depth maps captured by Kinect depth cameras are being widely used for 3D action recognition. However, such images often appear noisy and contain missing pixels or black holes. This paper presents a computationally efficient method for both denoising and hole-filling in depth images. The denoising is achieved by utilizing a combination of Gaussian kernel filtering and anisotropic filtering. The ...