the neurons in the map, but only a few connections are illustrated. The weight vectors ~ w of the neurons in the map form the pivot of the network. Figure 2: a) The training image. b) The a priori segmentation of the training image. c) A test image. d) The required segmentation of the test image. Figure 3: a) The training image. b) The a priori segmentation of the training image. c) A test imag...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...

Deep learning models have a wide number of applications including generating realistic-looking images. These typically require lots data, but we wanted to explore how much quality is sacrificed by using smaller amounts data. We built several and trained them at different dataset sizes, then assessed the generated images with widely used FID measure. As expected, measured an inverse correlation ...

reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. it also decreases memory and transmission bandwidth requirements. moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. in this paper, the kohene...

Facies modeling is an essential part of reservoir characterization. The connectivity of facies model is very critical for the dynamic modeling of reservoirs. Carbonate reservoirs are so heterogeneous that variogram-based methods like sequential indicator simulation are not very useful for facies modeling. In this paper, multiple point geostatistics (MPS) is used for facies modeling in one of th...

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...