Image recognition is one of the most important field in image processing that in recent decades had much attention .Due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.One of the most important aspe...

This study is designed to consider the two important yet often neglected factors, which are factory recommendation and bit features, in optimum bit selection. Image processing techniques have been used to consider the bit features. A mathematical equation, which is derived from a neural network model, is used for drill bit selection to obtain the bit’s maximum penetration rate that corresponds ...

3d imagination of human's organs has become feasible by digital image processing techniques and algorithms via ct or mri images in recent years. in this study, a new method for reverse engineering and biomodelling of hard tissues by catia cloud points' concept has been considered. comparing with the current softwares (e.g. biobuild or mimics) has shown the new method's easiness of implementing ...

among the different classes of physical properties of foods, color is considered the most important visual attribute in quality perception. consumers tend to associate color with quality due to its good correlation with physical, chemical and sensorial evaluations of food quality. this study used an inexpensive method to predict sweet cherries color parameters by combining image processing and ...

three-dimensional surface geometry of rock discontinuities and its evolution with shearing are of great importance in understanding the deformability and hydro-mechanical behavior of rock masses. in the present research, surfaces of three natural rock fractures were digitized and studied before and after the direct shear test. the variography analysis of the surfaces indicated a strong non-line...

in many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. in thispaper, we propose a novel method to effectively overcome this problem using neural networks and kalman filtering theory. thistechnique u...