One of the sources death among women is breast cancer. It well known that Mammogram best method for cancer detection. Subsequently, there are solid requirements improvement computer aided diagnosis (CAD) systems to assist radiologists in making decision. In this paper, curvelet changes proposed classify Curvelet refers multi-level change which have characteristics directionality and anisotropy....

Image classification can benefit from incorporating texture by enabling an increased number of classes and improving thematic accuracy. Incorporating texture also involves special attention in a number of aspects that range from the texture source to the evaluation of accuracy through pre-processing, training strategy and choosing a texture extraction paradigm and a classifier. Without special ...

This paper evaluates the performance of texture and color features applied to natural image retrieval. Natural images usually contain both texture and color, and therefore those features should also be considered together in a retrieval process. Combination of texture and color features is important, since it may result in closer connection to semantic. The idea in this study is to empirically ...

Texture features derived from wavelet transforms have recently been exploited for texture discrimination, image retrieval from a database, region classification for satellite images. Most works demonstrate that the error rate for texture classification is reduced as the number of texture features increases but seldom mentioned how to select good features derived from a specified wavelet transfo...

Retrieval of an image is a more effective and efficient for managing extensive image database. Content Based Image Retrieval (CBIR) is a one of the image retrieval technique which uses user visual features of an image such as color, shape, and texture features etc. It permits the end user to give a query image in order to retrieve the stored images in database according to their similarity to t...

In these days people are interested in using digital images. So the size of the image database is increasing enormously. Lot of interest is paid to find images in the database. There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color, texture and shape are three important visual featur...

In this paper, we present a machine vision system that was developed on the basis of neural networks to identify twelve houseplants. Image processing system was used to extract 41 features of color, texture and shape from the images taken from front and back of the leaves. The features were fed into the neural network system as the recognition criteria and inputs. Multilayer perceptron (MLP) ne...