The world has recently witnessed a tremendous development in the various fields of information technology. Traditional databases do not provide a satisfactory environment for variant media types such as audio video and still images. An efficient statistical image indexing technique has been developed. The mean, variance, and skewness of the image color histogram distributions were used as a fea...

High feature vector dimension quietly remained a curse element for Content Based Image Retrieval (CBIR) system which eventually degrades its efficiency while indexing similar images from database. This paper proposes CBIR system using Gray Scale Weighted Average technique for reducing the feature vector dimension. The proposed method is more suitable for color and texture image feature analysis...

Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...

the quality evaluation of agricultural products is one of the key factors in promoting their quality. in this study, a method based on combined image processing technique and artificial neural network was presented. separation of touching almonds under different positions is a very important step in design of grading devices. in this study, an image processing algorithm based on extracting crit...

In computer vision application, visual features such as shape, color and texture are extracted to characterize images. Each of the features is represented using one or more feature descriptors. One of the important requirements in image retrieval, indexing, classification, clustering, etc. is extracting efficient features from images. The color feature is one of the most widely used visual feat...