Edge detection is a fundamental image analysis task, as it provides insight on the content of an image. There are weaknesses in some of the edge detectors developed until now, such as disconnected edges, the impossibility to detect branching edges, or the need for a ground truth that is not always accessible. Therefore, a specialized detector that is optimized for the image particularities can help improve edge detection performance.
View Article and Find Full Text PDFFitness-related self-conscious emotions (SCEs) have been proposed as antecedents of exercise addiction (EA). However, the potential mechanisms underlying such a relationship remain unexplored. The present study examined the relationship between fitness-related SCEs and risk of EA, as well as the mediating role of passion for exercise.
View Article and Find Full Text PDFBackground And Aims: Theoretical models of morbid exercise behavior (MEB) suggest that it may emerge as a result of complex interactions between a range of psychosocial factors. However, in spite of fitness-related self-conscious emotions involving such factors, their relationship with the risk of MEB has never been investigated. Consequently, this study had two objectives.
View Article and Find Full Text PDFThe purpose of this study was to test a motivational model on the links between situational and dispositional motivation and self-reported indiscipline/discipline based on the achievement goals theory. The model postulates that a task-involving motivational climate facilitates self-reported discipline, either directly or mediated by task orientation. In contrast, an ego-involving motivational climate favors self-reported indiscipline, either directly or by means of ego orientation.
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