Aiming at the problem of misdetection caused by traditional texture characteristic extraction model, which does not describe correlation among multiple bands, an object-oriented remote sensing image change detection method based on a color co-occurrence matrix is proposed. First, divided into multi-scale objects graph-based superpixel segmentation, and optimal scale determined overall goodness ...

one of the most common positioning errors in panoramic radiography is palatoglossal air space above the apices of the root of maxillary teeth. it causes a radiolucency obscuring the apices of maxillary teeth. in the case of this positioning error, the imaging should be repeated. this causes the patient be exposed to radiation again. to avoid the repetition of exposing harmful x-rays to the pati...

The present paper proposes a novel approach for facial expression identification based on the statistical features extracted from the 4-bit co-occurrence matrix. In the present, first color image is converted into grey level image using 7-bit quantization technique. To reduce the complexity of the Grey Level Co-occurrence matrix the present paper generates the co-occurrence matrix on 4 bit grey...

Content based image retrieval (CBIR) is an automated way to retrieve images based on the visual content or image features itself. Visual inspection of food type is tiresome and time consuming task. This paper presents the retrieval of similar looking bulk split gram images using Grey Level Co-occurrence Matrix (GLCM) and Color Grey Level Co-occurrence Matrix (CGLCM) texture features. Texture fe...

In this paper, a novel color texture image classification based on HSV color space, wavelet transform, and motif patterns is introduced. Traditionally, RGB color space is widely used in digital images and hardware. However, RGB color space is not accurate in human visual perception and statistical analysis. Therefore, HSV color space is applied to obtain more accurate color statistics for extra...

We describe recent advances in the study of rent seeking and corruption in financial markets. We outline three areas of inquiry: (a) conceptualizing rent seeking, (b) identifying rent-provision channels and their general equilibrium impact, and (c) designing feasible remedial mechanisms. We provide suggestions for making further progress in these areas and review a variety of approaches taken i...

Remanent magnetization curves of perpendicular magnetic thin films are simulated and measured. The simulations are used to investigate the theoretical influence of the strong demagnetizing field present in these films. Conclusions are drawn from this on how remanence curves should be measured and how they should be c0rrecte.d for the demagnetizing influence. The experimental part consists of me...

Statistical Geometric Features (SGF) have recently been proposed for the classification of image textures. The SGF method is easily extended to use other geometric properties of connected regions. Following a brief review of the method, we propose such an extension to the set of SGF features for the purpose of classifying cervical cell textures. The resulting method proves to be as powerful as ...

The cerebrovascular bed is very sensitive to CO 2 changes, particularly the areas responsible for generation and control of respiratory rhythm. We have used BOLD functional magnetic resonance imaging (fMRI) and externally induced CO 2 challenges that stimulate respiration, to identify respiratory areas in-vivo in humans and to quantify the dynamic effects of CO 2 on the BOLD fMRI signal (dynami...

Research in batik image retrieval is still challenging today. In this paper, we present an efficient system for batik image retrieval that combine color and texture features. The proposed approach is based on color auto-correlogram method as color feature extraction method and Gray Level Co-occurrence Matrix (GLCM) method as texture feature extraction method. Firstly, HSV (Hue Saturation Value)...