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A master's thesis from Aalborg University
Book cover


Camera Companion

Author

Term

3. term

Education

Publication year

2012

Submitted on

Pages

39

Abstract

Denne rapport præsenterer et konceptuelt softwareprogram, der lægger grunden til et fremtidigt studie i fotografi. Det tager udgangspunkt i reglen om komplementærfarver—farver, der ligger over for hinanden på farvecirklen, og som ofte får billeder til at fremstå mere tiltalende. Med farvegenkendelsesalgoritmer har programmet til formål at hjælpe personer med farvesynsnedsættelse (CVD) med at identificere forskellige farver i billedrammen. Test viste, at algoritmerne præsterede ensartet under forskellige lysforhold, så længe motivet ikke var overeksponeret (for lyst). Ifølge brugernes kommentarer vurderede de fleste deltagere med og uden CVD, at en sådan applikation kan formidle information om omgivelsernes farver. I sin nuværende form er den dog ikke hurtig nok til at hjælpe med at finde komplementærfarver tilstrækkeligt hurtigt.

This report presents a conceptual software program that sets the groundwork for a future study in photography. It focuses on the rule of complementary colours—pairs of hues opposite each other on the colour wheel that often make images look more pleasing. Using colour recognition algorithms, the program aims to help people with colour vision deficiency (CVD) identify different colours within the image frame. Tests showed that the algorithms performed consistently under different lighting conditions, provided the scene was not overexposed (too bright). According to user comments, most participants with and without CVD felt the application could successfully convey information about surrounding colours. However, in its current stage it is not fast enough to help users find complementary colours quickly.

[This abstract was generated with the help of AI]

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