Krzysztof Misztal
Schedae Informaticae, Volume 24, 2015, pp. 31 - 40
https://doi.org/10.4467/20838476SI.15.003.3025This work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.
Krzysztof Misztal
Schedae Informaticae, Volume 27, 2018, pp. 129 - 141
https://doi.org/10.4467/20838476SI.18.010.10415In this paper we present a method with closed analytic formula of stitching aligned images.
It is obtained by choosing a statistically optimal global color change of one part of image. This approach, due to its numerical efficiency, is especially well-suited for merging big amount of satellite images into a single map.
Moreover, we present solution of a general problem, how to find an optimal shift by v of data Y with respect to v from V, so that the dataset X, Y+v is maximally statistically consistent. We show that the solution is given in a closed analytic form.
Krzysztof Misztal
Schedae Informaticae, Volume 26, 2017, pp. 69 - 78
https://doi.org/10.4467/20838476SI.17.006.8152Size of the data is often a challenge in real-life applications. Especially when working with time series data, when next sample is produced every few milliseconds and can include measurement from hundreds of sensors, one has to take the dimensionality of the data into consideration. In this work, we compare various dimensionality reduction methods for time series data and check their performance on failure detection task. We work on sensory data coming from existing machines.