background: we aimed to extract the histogram features for text analysis and, to classify the types of bio medical waste (bmw) for garbage disposal and management. methods: the given bmw was preprocessed by using the median filtering technique that efficiently reduced the noise in the image. after that, the histogram features of the filtered image were extracted with the help of proposed modifi...

Nematodes are the most diverse animals and the most numerous multi-cellular organisms on earth. They exist in almost every ecological niche and vary in size from microscopic round worms to large classes such as Cestoda, which can grow to over 30 meters. Not only are nematodes greatly abundant, but they have significant impacts on human life. Nearly two billion people worldwide are infected by a...

Background & Aims: Early detection and reliable differentiation of benign and malignant liver tumors could lead to improved cure rate and costs. Ultrasound image (US) is a convenient medical imaging method for interpreting liver tumors. Visual inspection of ultrasound images sometimes is combined with error and needs biopsy to confirm whether a tumor would be benign or malignant. The aim of thi...

Introduction The texture is " A measure of the variation of the intensity of a surface, quantifying properties such as smoothness, coarseness, and regularity. " Textures are homogenous visual patterns in a scene such as grass, cloud, wood, and sand. Although the stated definition is an acceptable one, Zucker and Kant described the textures as: "Texture is an apparently paradoxical notion. On th...

This paper proposes an efficient parallel approach to texture classification for image retrieval. The idea behind this method is to pre-extract texture features in terms of texture energy measurement associated with a 'tuned' mask and store them in a multiscale and multi-orientation texture class database via a two-dimensional linked list for query. Thus, each texture class sample in the databa...

The classification of emotional speech is mostly considered in speech-related research on human-computer interaction (HCI). In this paper, the purpose is to present a novel feature extraction based on multi-resolutions texture image information (MRTII). The MRTII feature set is derived from multi-resolution texture analysis for characterization and classification of different emotions in a spee...

Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation mapping in complex urban landscapes due to the ultra-high resolution imagery acquired at low altitudes. Because of payload capacity restrictions, off-the-shelf digital cameras are widely used on medium and small sized UAVs. The limitation of low spectral resolution in digital cameras for vegetation mapping can be re...