Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step to discriminate different regions. Then with the aim of eliminating unnecessary details and achi...

introduction: this study aimed at examining body image and eating attitude with regard to reasons of exercising among non-athlete women attending sport centers. materials and methods: the present study has an ex-post facto design. 315 female sports center users were selected by multi-phase random clustering and completed the following rating scales: eating attitudes test-26 (eat-26), body image...

Natural image is one of the fundamental problems in image processing and Computer Vision. Image segmentation is the process of partitioning an image into multiple meaningful regions or sets of pixels with respect to a particular application. Image segmentation is a critical and essential component of image analysis system. In literature, there are many image segmentation techniques. One of the ...

Introduction: This study aimed at examining body image and eating attitude with regard to reasons of exercising among non-athlete women attending sport centers. Materials and methods: The present study has an ex-post facto design. 315 female sports center users were selected by multi-phase random clustering and completed the following rating scales: Eating Attitudes Test-26 (EAT-26), Body Image...

Manifold learning based image clustering models are usually employed at local level to deal with images sampled from nonlinear manifold. Multimode patterns in image data matrices can vary from nominal to significant due to images with different expressions, pose, illumination, or occlusion variations. We show that manifold learning based image clustering models are unable to achieve well separa...