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Today, image forgery is common due to the massification of low-cost/high-resolution digital cameras, along with the accessibility of computer programs for image processing. All media is affected by this issue, which makes the public doubt the news. Though image modification is a typical process in entertainment, when images are taken as evidence in a legal process, modification cannot be considered trivial. Digital forensics has the challenge of ensuring the accuracy and integrity of digital images to overcome this issue. This investigation introduces an algorithm to detect the main types of pixel-based alterations such as copy-move forgery, resampling, and splicing in digital images. For the evaluation of the algorithm, CVLAB, CASIA V1, Columbia, and Columbia Uncompressed datasets were used. Of 7100 images evaluated, 3666 were unaltered, 791 had resampling, 2213 had splicing, and 430 had copy-move forgeries. The algorithm detected all proposed forgery pixel methods with an accuracy of 91%. The main novelties of the proposal are the reduced number of features needed for identification and its robustness for the file format and image size. [ABSTRACT FROM AUTHOR]

Traditionally in the physics laboratories of secondary educational school or university institutions simple Pendulum experiment is introduced to teach concepts such as time and simple harmonic motion. This experience usually requires to be carry out with the aid of stopwatches controlled by students or by using electronic laboratory equipment that quantifies the period autonomously. This work presents an alternative using computer vision, through a web camera as a tool for the analysis of Simple Pendulum for measurement and estimation of the magnitude of the gravitational field and the length of the weightless cord. The application developed calculates the results of measured period with a relative error less than 0,5%, which makes it a reliable tool to complement the work in class for institutions that do not have financial resources for having a reliable and easy simple tool to use. [ABSTRACT FROM AUTHOR]

This paper presents the results of a market research developed by the research group Robótica Aplicada in the área metropolitana centro occidente (AMCO), which seeks to identify the feasibility of developing and marketing a photovoltaic device that allows motorcyclists of the region recharge their electronic devices while the vehicle is in use. [ABSTRACT FROM AUTHOR]

The Fourier transform provides a physical link with optical theory. This work presents a simple relationship but valuable academically, between the diffraction of light through a long slit under the Fraunhofer criteria and possibilities of its complementary analysis using imaging processing. [ABSTRACT FROM AUTHOR]

This paper presents a computer recognition system which is able to identify a Latin American tropical fruit, from a set previously defined in a database, using computer vision techniques. This study allows for comparison of the KNN and Bayesian classifiers and the RGB and HSV color models, along with the size and shape characteristics previously used by researchers in this area, in countries such as: Malaysia, Brazil and the United States. For the class of fruits defined in this research, the characteristics that best described them were the mean values of the RGB channels and the length of the major and minor axes, when the Bayesian classifier was used, a process that yielded results with an accuracy equal to 90% in the tests carried out. It was found that the selection of a larger number of variables, to form the classifier descriptor vector, does not always allow for the delivery of a more accurate response. In this sense, it is important to consider that there should be a low value of dependence or correlation among the variables studied. The project also resulted in the development of a calibrated video electronic scale prototype, capable of sorting fruit, device that aims to contribute to the solution of the problem of identification and classification of agricultural products in supermarkets. [ABSTRACT FROM AUTHOR]