Artificial neural networks (ANN), as computational models inspired by biological neural networks, have become a standard tool in computer science for the classification of various digital patterns. They are used primarily in applications dealing with image processing, speech recognition, time series prediction, robotics and others [1]. Traditional artificial neural networks use real numbers for...

Published online: 29/4/2013 Abstract The complementary DNA (cDNA) micro-array image is considered to be the magic biometric technique for personal identification based on the concurrent identification of millions of genes. In this paper, we present a new method for personal identification based on cDNA micro-array image processing and the Artificial Neural Network (ANN). The image processing te...

Abstract: A CNN (Convolutional Neural Network) is a class of deep neural networks that are most used for analyzing visual imagery. This the widely learning algorithm image and video recognition, classification, segmentation, medical analysis natural language processing, many more. But, training Network from scratch requires more time lot data, performance model affected. ‘Transfer learning’ bes...

The visual recognition methods of texture feature of welding seam have the important significances to realize the automatic tracking of welding seam in the steps of subsequent welding and cover welding of multi-layer welding. Starting from the point of view of making full use of texture feature of welding seam image, the method research and algorithm design are respectively carried out on the 2...

Water level dynamics in catchment-scale rivers is an important factor for surface water studies. Manual measurement highly accurate but inefficient. Using automatic sensors has disadvantages such as high cost and difficult maintenance. In this study, a recognition method based on digital image processing technology CNN proposed. For achieving batch segmentation of source images, the coordinates...

A good understanding of the population dynamics of algal communities is crucial in several ecological and pollution studies of freshwater and oceanic systems. This paper reviews the subsequent introduction to the automatic identification of the algal communities using image processing techniques from microscope images. The diverse techniques of image preprocessing, segmentation, feature extract...

Images are often corrupted by noise. For visual quality as well as for satisfactory extraction of important features from the images, denoising of the images is necessary. It is an unavoidable pre-processing step for many applications such as image compression, segmentation, identification, fusion, object recognition etc. Many successful algorithms have been proposed over the past few decades f...

classification of vegetation according to their species composition is one of the most important tasks in the application of remote sensing in precision agriculture. to prepare an algorithm for such a mandate, there is a need for ground truth. field operation is very costly and time consuming. therefore, some other method must be developed, such as extracting information from the satellite imag...

this paper gives the idea about lip reading. Generally image processing is done to process an image for different application. There is variety of transform base feature extraction method. Visual recognition system or lip reading method is important generally in noisy condition. The new modality in image processing area is gives you dictation of voice. Keywords— ANN (Artificial Neural Network),...