Denoising of Coal Flotation Froth Image Using Opening and Closing Filters with Area Reconstruction and Alternating Order Filtering

Author(s):  
Jinling Yang ◽  
Jieming Yang ◽  
Muling Tian
2021 ◽  
Vol 170 ◽  
pp. 107023
Author(s):  
Zhiping Wen ◽  
Changchun Zhou ◽  
Jinhe Pan ◽  
Tiancheng Nie ◽  
Ruibo Jia ◽  
...  

Author(s):  
Mu-Ling Tian ◽  
Jie-Ming Yang

This paper presents an improved genetic algorithm for the optimization of the structure element used in morphological open and closed filtering. Considering that the evaluation of the froth images of coal flotation is categorized as a no-reference image evaluation, in the optimization of the structural element, a denoising evaluation index of an improved information capacity was used as the adaptation degree function. In addition, this paper proposes the determination method of chromosome length in the structure element optimization algorithm. In the improved genetic algorithm, based on adaptive variation, the variation regulation factor and the mechanism of concentration adjustment are introduced. When compared to an optimization process of the structural element in froth image denoising using the genetic algorithm, the adaptive genetic algorithm, the improved genetic algorithm improves the efficiency and accuracy of the optimization process. It has been proven that optimizing the structural element by the improved genetic algorithm increases fitness and reduces noise when using morphological open and closed reconstruction filters.


2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Siti Ulfah

The purposes of this reasearch are 1) describing the efforts of increasing the elementary school of Turusgede teachers pedagogic competence at the first semester of 2018/2019 academic year in opening and closing the learning by using the self assessment technique and 2) analysing the increase of the elementary school of Turusgede teachers pedagogic competence at the first semester of 2018/2019 academic year in opening and closing the learning by using the self assessment technique. This research is School Action Research (SAR). This research is taken palce in elementary school of Turusgede, Subdistrict of Rembang, Regency of Rembang. The time of this research is the early-middle first semester of 2018/2019 academic year. The subjects of this research are teachers in the elementary school of Turusgede, Subdistrict of Rembang, Regency of Rembang, consist of twelve teachers. The data of this research is teachers pedagogic competence in opening and closing the learning. The techniques of collecting data are using nontest technique and test technique. The tools of collecting data are using the sheets of observation, camera application on hand phone and the form of self assessment. The technique of analizing data in this research is decriptive comparation. The procedure of this research is using Cycle Model, consist of four steps: planning, action, observation and reflection. Each cycle is going on one week. The results of this research are 1) the academic supervision with self assessment technique is previously sharing the form of self assessment to the subjects of this research, 2) self assessment technique is self assessment according to the next theme and matter, 3) self assessment technique is self assessment after the learning finish and 4) teachers pedagogic competence with self assessment technique is increasing and including good category (B) that according with the result of observation and including very good category (A) that according with the result of self assessment. Key words: Pedagogic, Supervision, Self Assessment Technique.


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