the aim of this investigation was to prepare, characterize and optimize the aceclofenac proniosomes using central composite design and carry out stability studies. three independent variables selected were molar ratio of drug to lipid (x1), surfactant loading (x2) and volume of hydration (x3). based on central composite design, 16 batches of proniosomes were prepared by slurry method and evalua...

In this paper, we introduce a new method for pattern characterisation in the context of pattern recognition. This method is based on the analysis of the contour of planar objects like the CSS (Curvature Scale Space) method that uses the maxima of the curvature zero-crossing. The input contour is separated into two signals according to its coordinates x and y which are progressively low-pass fil...

An original method is proposed to extract the most significant volumetric structures in an illuminance image. The method proceeds in three levels of organization managed by generic grouping principles: (i) from the illuminance image to a more compact representation of its contents by generic structural information extraction leading to a basic contour primitive map; (ii) grouping of the basic p...

The process of generating an F0 contour from a small number of linguistically meaningful parameters, has been modeled quite accurately, and the model has been used extensively in speech synthesis. The present study deals with the inverse problem, i.e., that of extracting the model parameters from a given contour, which can only be solved by successive approximation. This paper presents a method...

This paper presents a novel approach to both the calibration of the omnidirectional camera and the contour matching in architectural scenes. The proposed algorithm divides an entire image into several sub-regions, and then examines the number of the inliers in each sub-region and the area of each region. In our method, the standard deviations are used as quantitative measure to select a proper ...

Automatic cell segmentation has various application potentials in cytometry and histometry. In this paper, an automatic cluster (touching) cell segmentation approach using the dominant contour feature points has been presented. Dominant feature points are the locations of indentation on the contour of the cluster. First, dominant feature points on the contour of the cluster are detected by dist...

Localization of the dominant points of cervical spines in medical images is important for improving the medical automation in clinical head and neck applications. In order to automatically identify the dominant points of cervical vertebrae in neck CT images with precision, we propose a method based on multi-scale contour analysis to analyzing the deformable shape of spines. To extract the spine...

A new method for generating sentence F0 contours of Mandarin speech is proposed. The method assumes the F0 contour generation process model, but generates the tone and phrase components in different ways and sums them to produce a sentence F0 contour. The tone component is generated concatenating F0 patterns of tone nuclei, which are predicted by a corpus-based scheme (binary decision trees). E...

Ultrasound images contain strong speckle noise and attenuation artifacts such as intensity inhomogeneity which makes the segmentation process challenging. In this paper, two segmentation algorithms have been studied and analyzed. First method is multiplicative intrinsic component optimization (MICO) algorithm which is based on the minimization of bias fields. It decomposes the ultrasound images...

In this study, we developed an automatic extraction scheme for the precise recognition of the contours of masses on digital mammograms in order to improve a computer-aided diagnosis (CAD) system. We propose a radial-searching contour extraction method based on a modified active contour model (ACM). In this technique, after determining the central point of a mass by searching for the direction o...