Land cover maps are regarded one of the main inputs for land use planning and environmental modeling. One of the main reasons of unsuitable spatial array of the urban areas can be related to the rural communities' emigration, which in turn cause complete degradation of the farmlands and rural structures. Such event can be regards as a factor which is responsible for demolishing of the Haft Barm area an important recreational and touristic areas in the vicinity of Shiraz metropolis. Therefore, recognizing the natural conditions of the area, preparing resource maps like land use and land cover, and monitoring their changes during the time is critical issue in the environmental planning and management. To this aim, WorldView 2 images with eight bands were used and mentioned maps were produced. The mapping analysis way was relied on an object-based classification methodology and using a decision tree which was applied in the WorldView 2 images categorization. The process shall be as the following: a) segmentation, b) terrain selecting, c) creating a decision tree for images' classification, and d) ultimate classification and evaluation of the accuracy. The area was divided into 10 user classes. The results indicated successful classes categorization with overall accuracy of 87. 45%. The highest accuracy of classification was obtained for water, forest, product, building classes respectively. Planted forests patches as well as natural forests were identified and classified using OBC approach (objectbased method) while additional coastal bands were used to distinguishing among barren and covered lands. Distance to tree and shadow play an important role in identifying buildings.

Introduction: Long-term clinical evaluation of dental implants and their surrounding structures is of utmost importance to acquire knowledge about reasons for implant success and failure.However, accurate and reproducible results are difficult to obtain. The aim of the present study was to examine bone height around endosseous implants on digital conventional radiographs (DCR) and direct digital subtraction images (DSI) prior to loading.Materials and methods: In this experimental study, bone height around 10 implants in 6 patients was assessed by 2 observers. Standardized digital radiographs were obtained just a week and 3 months postoperatively and subtracted by means of EMAGO software. Then the observers evaluated bone height on DCRs and DSIs. MINITAB software and paired t-test were used for statistical analysis (a=0.05).Results: Comparative evaluation of bone height indicated significantly higher values on DCR than on DSI (p value=0.002). The observers also had statistically significant variability in this assessment (p value=0.00003).Conclusion: DSI demonstrated lower values of linear measurement of bone height around endosseous implants compared with DCR. Interobserver variability should be considered when comparing values from follow-up studies.

Tumor detection and isolation in magnetic resonance imaging (MRI) is a significant consideration, but when done manually by people, it is very time consuming and may not be accurate. Also, the appearance of the tumor tissue varies from patient to patient, and there are similarities between the tumor and the natural tissue of the brain. In this paper, we have tried to provide an automated method for diagnosing and displaying brain tumors in MRI images. images of patients with glioblastoma were used after applying pre-processing and removing areas that have no useful information (such as eyes, scalp, etc.). We used a bounding box algorithm, to create a projection for to determining the initial range of the tumor in the next step, an artificial bee colony algorithm, to determine an initial point of the tumor area and then the Grow cut algorithm for, the exact boundary of the tumor area. Our method is automatic and extensively independent of the operator. comparison between results of 12 patients in our method with other similar methods indicate a high accuracy of the proposed method (about 98%) in comparison s.

Purpose: Something that happens in the future of a scientific field depends on today's view of young people about the future. The perception of young people from the future and their conception of the future is very important. The purpose of this study was to imaging the future of sports science from the perspective of educated youth. Method: The method of the present research is qualitative and exploratory research and in terms of purpose is applied research. The statistical population of the study included educated youth who are familiar with sports science and the snowball sampling method was used for interviews and theoretical saturation were obtained with 23 interviews. To analyze the data, the content analysis method has been used to obtain the information of this research. Findings: The results show the future of sports science among educated youth consists of seven main concepts that include: hope for a green education system, excessive interest in working in the sports industry, basic reengineering, relative disappointment from the ability of authorities, social position through academic education, desire for empowerment and lack of skills, injustice, and utilitarianism. Conclusion: Finally, by observing the mental images of the youth, it can be stated that sports science will move towards the dystopia if the current situation continues, and it can move towards the utopia with fundamental changes. In this direction, the stakeholders of sports sciences need to be together and disagreements need to be managed as well as arbitrariness of sports science professionals should be reduced.

Purpose: Recent Progress in multimooal imaging makes it possible to acquire several images from different physical properties of individual subject. Data fusion, image registration and especially image warping of these different images and sequential images have wide range of applications in medical diagnosis and treatment. Many registration techniques use interpolating function as a basis to map one image to another. Because of space variant and nonlinearity properties of imaging system, local warping algorithm improves performance of mapping.Materials and Methods: In this research we have developed a new method for local warping based on voronoi images.This method employs weighted average of partially warping function of distinct sets of landmark points.The method was tested on a large database including real as well as simulated magretic resonance images and its" results were compared with a standard benchmark sotware (AIR). Results and Discussions: Results indicated that our method has an excellent ability to compensate several geometrical distortions compare with the global warping methos.

fusion following the studies by FIFA (Federation Internationale de Football Associations). Research using images other than T1WI has not been reported. The aim of this study is to evaluate the grade of epiphyseal fusion by T2* weighted images (T2*WI) and to investigate new findings on T2*WI as compared with T1WI.Methods: A total of 87 subjects, all junior football players between the ages of 12 and 17 years old, were examined. T1 and T2* WI were obtained using a 1.2T Open type MR system. The T1WI and T2*WI were rated twice randomly by four radiologists using the FIFA grading system.Results: The intra-rater reliability for grading was higher in T1WI (The Intraclass Correlation Coefficient (ICC)=0.949-0.985) than in T2*WI (ICC=0.917-0.943). The inter-rater reliability for grading was also higher in T1WI (ICC=0.923) than in T2*WI (ICC=0.867).Conclusions: This research showed that T1WI is a better sequence than T2*WI to evaluate bone fusion following FIFA protocol. It was speculated that the reason for this is that T1WI has higher tissue contrast resolution and enables clearer images of the epiphyseal fusion than T2*WI and the grading system by T1WI was not suitable for T2*WI.

Does the poetic (poetry), which is usually believed to belong to the realm of word and language; occur also in images and objects and embrace them? Or is the expression "poetic" considered for things and images? In order to answer these questions and trace back this concept in painting, this essay approaches surrealistic ideas and paintings because surrealism more than other artistic styles and schools claims to discover the essence of poetry in both literature and art, although in their artworks the reflection and development of imagination and dream expands beyond the borders that surrealism itself defined. This essay studies different methods and techniques of some surrealist painters i. e. "Magritte", "Dali" and "Max Ernst" who have very different ways to reflect poetic aspects in their paintings, although some common rules can be found in their work. Consequently this essay reveals the common features of poetics that are represented in both words and images, such as: recovering the lost value of dreams and regaining things to themselves, not in relation with other things, giving unusual specifications to usual things; assembling words, objects and concepts in an unrelated form and position, disarranging the relation between subject and artwork, surrendering to the unconscious, madness and accident… so the poetic images do not represent the mind but establish it. And through this establishment create a new world that destroys the visual habits, and encourages the mind to dive more deeply.

Introduction: Consumers’,prior experiences form an episodic memory that largely influences their decision-making process. This episodic memory is mainly linked to cognitive and emotional perception and we know that brand image influences our cognitive and emotional perception. Nevertheless, it has not been well described how autobiographical memories of brand images differ from other types of images. Methods: In this study, we hypothesized that brand pictures have a higher chance to create false memories as compared to neutral ones. Results: We investigated this hypothesis using the Deese–, Roediger–, McDermott paradigm with lists of brand pictures from the local market and associated neutral images from the international affective picture system. Thirty graduate students were exposed to image stimuli, followed by a distractor task and a recognition task. After the normality test, reaction times (RT), and false recognition rate of brands and neutral images were statistically compared using a pairwise t-test. Conclusion: The results showed a significant decrease in reaction time (RT) and an increase in the false recognition rate of brand pictures compared to neutral images. Interestingly, the effect of gender on the creation of false memory by autobiographical brand images was not significant. We hope these findings can pave the way for a better understanding of the false memory mechanism.

Passive millimeter wave imaging is used to discover the objects concealed under a person's clothes. Discovering hidden objects is extremely important in the places such as airports, because of security. However, millimeter wave images have low-quality and image processing techniques are needed to improve the quality of the images. This paper attempts to use the fusion approach to present a method for discovering hidden objects from PMMW images while preserving the details of visible images. In the proposed method, images are subdivided using BEMD conversion into high frequency and low frequency sub-images. In the next step, the NSST conversion is used to parse images from the previous step in different resolutions and directions, and then the improved SCM neural network is used as the fusion rule. The results are evaluated using fusion effectiveness criteria of QAB/F and MI. Simulation results show that the proposed method improves the previous results, which were combined using the NSST analysis method and the ISCM law, with an average of about 33% for the QAB/F criterion.