Showing papers in "Signal & Image Processing : An International Journal in 2018"
11 citations
TL;DR: The initial results indicate that watermarking medical images with patients' data does not significantly affect their visual quality and they can still be used by medical staff.
Abstract: This paper presents a hybrid watermarking technique for medical images. The method uses a combination of three transforms: Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and singular value decomposition (SVD). Then, the paper discusses the results of applying the combined method on different medical images from eight patients. The images were watermarked with a small watermark image representing the patients' medical data. The visual quality of the watermarked images (before and after attacks) was analyzed using five quality metrics: PSNR, WSNR, PSNR-HVS-M, PSNR-HVS, and MSSIM. The first four metrics' average values of the watermarked medical images before attacks were approximately 32 db, 35 db, 42 db, and 40 db respectively; while the MSSM index indicated a similarity between the original and watermarked images of more than 97%. However, the metric values decreased significantly after attacking the images with various operations even though the watermark image could be
retrieved after almost all attacks. In brief, the initial results indicate that watermarking medical images with patients' data does not significantly affect their visual quality and they can still be used by medical staff.
8 citations
TL;DR: The goal of the paper is to prove how potentially a microcontroller can perform a DSS which can be customized for different cultivations.
Abstract: In this paper is analyzed a case study of an industry project concerning irrigation decision support system (DSS) suitable for precision agriculture applications. In particular, a first prototype irrigation module has been developed by testing different components. The prototypal system concerns the irrigation management by reading field and weather values and, by enabling electrovalves through cloud control. A web panel will monitor in real time all sensors data, besides the DSS will activate or disactivate the irrigation pipelines. The irrigation decision is performed by comparing the measurements with pre-set threshold limits of sensor values and by analyzing predicted weather data. The paper describes in details the network design and implementation by discussing the sequence diagram describing the DSS data flow. Finally is proposed the DSS algorithm by discussing the DSS logic and its first implementation. The proposed DSS behaves as an engine processing simultaneously multiple parameters. The goal of the paper is to prove how potentially a microcontroller can perform a DSS which can be customized for different cultivations.
4 citations
TL;DR: Experimental results proves that the setting condition are mainly function of the typology of moving object rather than the light conditions, which makes the proposed prototype system is suitable for video surveillance smart camera in industrial systems.
Abstract: The implementation of a stand-alone system developed in JAVA language for motion detection has been discussed. The open-source OpenCV library has been adopted for video surveillance image processing thus implementing Background Subtraction algorithm also known as foreground detection algorithm. Generally the region of interest of a body or object to detect is related to a precise objects (people, cars, etc.) emphasized on a background. This technique is widely used for tracking a moving objects. In particular, the BackgroundSubtractorMOG2 algorithm of OpenCV has been applied. This algorithm is based on Gaussian distributions and offers better adaptability to different scenes due to changes in lighting and the detection of shadows as well. The implemented webcam system relies on saving frames and creating GIF and JPGs files with previously saved frames. In particular the Background Subtraction function, find Contours, has been adopted to detect the contours. The numerical quantity of these contours has been compared with the tracking points of sensitivity obtained by setting an user-modifiable slider able to save the frames as GIFs composed by different merged JPEGs. After a full design of the image processing prototype different motion test have been performed. The results showed the importance to consider few sensitivity points in order to obtain more frequent image storages also concerning minor movements. Sensitivity points can be modified through a slider function and are inversely proportional to the number of saved images. For small object in motion will be detected a low percentage of sensitivity points. Experimental results proves that the setting condition are mainly function of the typology of moving object rather than the light conditions. The proposed prototype system is suitable for video surveillance smart camera in industrial systems.
3 citations
2 citations
TL;DR: In this paper, an intra-and inter-individual emotion classifications from psychophysiological signals and subgroup analysis on the influence of gender and age and their interaction on the emotion recognition were performed.
Abstract: This study involves intra- and inter-individual emotion classifications from psychophysiological signals and subgroup analysis on the influence of gender and age and their interaction on the emotion recognition. Individual classifications are conducted using a selection of feature optimization, classification and evaluation approaches. The subgroup analysis is based on the inter-individual classification. Emotion elicitation is conducted using standardized pictures in the Valence-Arousal-Dominance dimensions and affective states are classified into five different category classes. Advantageous intra-individual rates are obtained via multi-channel classification and the respiration best contributes to the recognition. High interindividual variances are obtained showing large variability in physiological responses between the subjects. Classification rates are significantly higher for women than for men for the 3-category-class of Valence. Compared to old subjects, young subjects have significantly higher rates for the 3-category-class and 2-category-class of Dominance. Moreover, young men’s classification performed the best among the other subgroups for the 5-category-class of Valence/Arousal.
2 citations
TL;DR: This work has proposed a new local maxima-based interest region detection method that achieves better precision and recall results than existing methods and can be used to build descriptors to represent corners.
Abstract: One of the most important steps to describe local features is to estimate the interest region around the feature location to achieve the invariance against different image transformation. The pixels inside the interest region are used to build the descriptor, to represent a feature. Estimating the interest region around a corner location is a fundamental step to describe the corner feature. But the process is challenging under different image conditions. Most of the corner detectors derive appropriate scales to estimate the region to build descriptors. In our approach, we have proposed a new local maxima-based interest region detection method. This region estimation method can be used to build descriptors to represent corners. We have performed a comparative analysis to match the feature points using recent corner detectors and the result shows that our method achieves better precision and recall results than existing methods.
1 citations