Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 2022

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

The automatic focus segmentation of multi-focus image fusion

Hawari K., Ismail

Bulletin of the Polish Academy of Sciences. Technical Sciences

2022

Vol. 70, nr 1

art. no. e140352

Multi-focus image fusion is a method of increasing the image quality and preventing image redundancy. It is utilized in many fields such as medical diagnostic, surveillance, and remote sensing. There are various algorithms available nowadays. However, a common problem is still there, i.e. the method is not sufficient to handle the ghost effect and unpredicted noises. Computational intelligence has developed quickly over recent decades, followed by the rapid development of multi-focus image fusion. The proposed method is multi-focus image fusion based on an automatic encoder-decoder algorithm. It uses deeplabV3+ architecture. During the training process, it uses a multi-focus dataset and ground truth. Then, the model of the network is constructed through the training process. This model was adopted in the testing process of sets to predict the focus map. The testing process is semantic focus processing. Lastly, the fusion process involves a focus map and multi-focus images to configure the fused image. The results show that the fused images do not contain any ghost effects or any unpredicted tiny objects. The assessment metric of the proposed method uses two aspects. The first is the accuracy of predicting a focus map, the second is an objective assessment of the fused image such as mutual information, SSIM, and PSNR indexes. They show a high score of precision and recall. In addition, the indexes of SSIM, PSNR, and mutual information are high. The proposed method also has more stable performance compared with other methods. Finally, the Resnet50 model algorithm in multi-focus image fusion can handle the ghost effect problem well.

An experimental study on the development of multipurpose biomass burner for cooking stove and thermal generator for household application

Suyitno Budhi Muliawan, Ismail, Rahman Reza Abdu

Acta Innovations

2022

no. 45

72--81

The present study proposes a novel concept of a solid biomass burner for household applications. The designed biomass stove is a multipurpose burner that can be used as a cooking stove and thermal generator. It works as a basic model of a biomass cooking stove and is coupled with a coil heat exchanger for thermal generation. The experimental evaluation is conducted by using the time-to-boil (TTB) method to measure the effective energy that can be harnessed from the combustion process. It shows that the maximum temperature outlet from the coil heat exchanger is 62.2 °C. The effective energy uptake for the coil heat exchanger is 41.9%, whereas the overall energy uptake, including the kettle, is obtained by more than 50%. Therefore, the proposed model can improve the efficiency of solid biomass burners for household ware.