This paper describes a new approach to solve the problem of intersecting features extraction. Feature extraction is important from several standpoints—automated process planning, NC machining, automated assembly and virtual prototyping. Feature extraction reported in the literature indicates limited success mostly in extracting a partial list of non-intersecting features. There has not been muc...

Automatic extraction of features from unstructured text is one of the challenging problems of Opinion Mining. The trend of getting products and services reputation from online resources such as web blogs and customer feedback is increasing day by day. Therefore efficient system is required to automatically extract products features and the opinion of consumers about all aspects of the products....

ABSTRAC: -This research aims at the extraction of geometric features from Urdu ligatures. Though structural features are robust, its extraction and analysis is exceptionally complex and time-consuming task. The extraction and analysis is uncomplicated in case of the geometric features. Geometric features are language, script and font independent. There are twelve significant geometric features ...

Image analysis is an image processing technique that aims to extract features or information from images. Image analysis in medicine has a special place because is a basis for disease diagnosis for physicians. Electrophoresis is a laboratory separating technique. Electrophoresis images are created during the electrophoresis process. Serum protein and hemoglobin electrophoresis test are the ...

due to the high penetration of wind farms in the networks, they can have a significant role in the control of power systems. in this paper, wind farms (wfs) are used to improve the static security margins of the power system. generation rescheduling is one of the remedies to improve the static security margins of the power system. in this paper, the generation rescheduling is presented based on...

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 analysis is an image processing technique that aims to extract features or information from images. Image analysis in medicine has a special place because is a basis for disease diagnosis for physicians. Electrophoresis is a laboratory separating technique. Electrophoresis images are created during the electrophoresis process. Serum protein and hemoglobin electrophoresis test are the ...

conclusions in this study, we proposed a new computer aided diagnostic tool for the detection and classification of breast cancer. the obtained results showed that the proposed method is more reliable in diagnostic to assist the radiologists in the detection of abnormal data and to improve the diagnostic accuracy. results after classification with the ensemble supervised algorithm, the performa...

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...