Background subtraction in dynamic scenes is an important and challenging task. This paper proposes an efficient motion detection system based on background subtraction using fuzzy colour histogram and morphological processing. Here two methods are used effectively for object detection followed by people counting and compare these performance based on accurate estimation. In dynamic texture scen...

In surface metrology, morphological filters, which evolved from the envelope filtering system (E-system) work well for functional prediction of surface finish in the analysis of surfaces in contact. The naive algorithms are time consuming, especially for areal data, and not generally adopted in real practice. A fast algorithm is proposed based on the alpha shape. The hull obtained by rolling th...

We present some novel tools for the analysis of bluenoise binary patterns. Unlike most of the existing methods that evaluate the frequency content of a given mask or its lower order statistics, our new metrics characterize the morphological content of a mask that is quantified using simple one-pass filtering. An analytical filter expression is given. As a result, one can balance the structural ...

Studying discrete space representations has recently lead to the development of novel morphological operators. To date, there has been no study evaluating the performances of those novel operators with respect to a specific application. This article compares the capability of several morphological operators, both old and new, to improve OCR performance when used as preprocessing filters. We des...

During the last decade various techniques have been proposed to extract the ground surface from airborne LIDAR data. The basic problem is the separation of terrain points from off-terrain points which are both recorded by the LIDAR sensor. In particular geometry driven filtering, detection or classification procedures are developed which use knowledge to find points, e.g. on buildings or vegeta...

Background subtraction in dynamic scenes is an important and challenging task. This paper proposes an efficient motion detection system based on background subtraction using fuzzy colour histogram and morphological processing. Here two methods are used effectively for object detection followed by people counting and compare these performance based on accurate estimation. In dynamic texture scen...

This paper presents a novel approach of detecting special objects from high resolution satellite imagery. In this approach, a bilateral filtering is used to denoise firstly, and a new morphological approach which combines gray scale morphological processing and binary morphological processing is proposed for ROI extraction and feature enhancement. A detection operator based on the boundary shap...

Exosomes are nanosized, cell-derived vesicles that appear in different biological fluids. They attract a growing interest of the researcher community due to their important role in intercellular communication. An easy to use and reliable method for their quantification and characterization at the single-vesicle level is tremendously needed to help evaluating exosomal preparations in research as...

This paper presents an effective comparison between various edge detection techniques and emphasizes on how fuzzy logic can be applied for edge detection. Edges provide the representation of object boundaries thus, filtering unnecessary data and that is the reason behind edge detection being an essential component in many computer image processing subfields such as classification, feature extra...

Arabic is a language of rich and complex morphology. The nature and peculiarity of Arabic make its morphological and phonological rules confusing for second language learners (SLLs). The conjugation of Arabic verbs is central to the formulation of an Arabic sentence because of its richness of form and meaning. In this paper, we address issues related to the morphological analysis of ill formed ...