Language: | Slovenian |
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Year of publishing: | 2020 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [G. Babnik] |
UDC: | 004(043.2) |
COBISS: | 21798403 |
Views: | 863 |
Downloads: | 157 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Counting objects in images using a genetic algorithm |
Secondary abstract: | The work deals with the automatic counting of objects in images. A genetic algorithm is used as a learning method to find appropriate operations used to process the images. The success of an individual solution is measured as a difference between the number of counted objects and the real object count. ARes algorithm is used to adjust the resolution of input images. The image processing part is implemented using two libraries TensorFlow and OpenCV. The work is tested against various sets of images in different domains. |
Secondary keywords: | counting;genetic algorithm;tensorflow;opencv;ares;computer and information science;diploma; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000468 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 72 str. |
ID: | 11880848 |