Sökning: "Color Space"
Visar resultat 1 - 5 av 137 uppsatser innehållade orden Color Space.
1. DIN BOSTADSFASAD ÄR NÅGON ANNANS VISUELLA UPPLEVELSE En metodutveckling för hur allmänhetens visuella upplevelser kan ingå i bygglovsprocessen
Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvårdSammanfattning : The aim of this bachelor's thesis is to develop a method that includes the public's visual experiences which are usually neglected in the planning permission process. A residential facade is someone else's visual experiences and in the meeting between people and a residential facade consists of different relationships that develop emotions and memories. LÄS MER
2. Developing a Test Method to Evaluate the Blackout Effect of Uncoated Curtains at Varying Angles
Kandidat-uppsats, Högskolan i Borås/Akademin för textil, teknik och ekonomiSammanfattning : This study aimed to explore the integration of varying angles in small-scale measurements and assess the light transmission performance of uncoated curtains. A total of four curtains were evaluated: blackout curtain samples 1 and 2 had a weft satin structure, while daytime curtain samples 3 and 4 consisted of a twill structure. LÄS MER
3. One Light to fit them all. Rethinking Luminaire Design, Reusability - Re•adjustability
Magister-uppsats, KTH/LjusdesignSammanfattning : A luminaire’s primary purpose is to provide visibility into a space, but also to serve as an aesthetic object for it. When switched off, luminaires maintain their presence as forms and when switched on they transform places by creating or vanishing different shadows. LÄS MER
4. Image Colorization Based on Deep Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. LÄS MER
5. Determining Important Features for Melanoma Classification Through Feature Selection
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. LÄS MER