Spearman’s rho modification in digital image processing

Abstract

The article presents an alternative Spearman’s rank correlation pattern as an innovative method in detecting the edges of an image by defining characteristic points of the image. Edge detection methods can be counted as the image processing stage following the implementation of the “initial” image processing, which includes: use of filters such as low-pass or high-pass, wavelet transform, etc. In this article hitherto known edge detection algorithms will be replaced with image ranking method. The first chapter of this work contains an analysis of the current knowledge on the ranking of the image. The operation of the Spearman rho algorithm together with its various configurations and the comparison of the two methods studied are presented in turn. Next, the modification of the Spearman rho pattern is presented along with the justification for the use of such a transformation. The same chapter also presents the effects of the algorithm, comparing it with known image ranking methods. The next stage of works consisted in developing a method for the interpretation of the results obtained. In the last chapter of the work, the obtained test results were summarized and analysed.

Parallel Processes Planning using Computer Supporting System

“…Taking into consideration that remark one could treat the process of multiple-projects management as effective planning and proper controlling of each separate project according to predetermined set of rules. Most organizations whose essence is the implementation of many projects that result in new products, systems or services must coordinate the resources that are shared by all these projects, among others by automatic systems [8,9]. In these organizations one must understand that the efficient implementation of individual projects without the simultaneous effective management of interactions between these projects is necessary to successfully achieve the goals of the enterprise strategy.…”

Application of a Digital Twin for Manufacturing Process Simulation

“…Availability of better solutions, such as IoT (Internet of Things), automatization, robotization, cloud technology, make possibility for an producer to better deal with customer requirements and dynamic market changes. Appropriate organization of the production and all activities related with production are the basis for realization of production in physical factories [1][2][3][4][5]. All business processes lead to the generation of large data sets that are needed to properly saved.…”

Cobot as the Part of Multi-agent Model of a Manufacturing System

“…Moreover the presence of the worker, any other tools used by him and object orientation in the cobot workspace must be detected using special methods, like digital image processing (e.g. [1]) or RTLS systems (e.g. [2]).…”