Sökning: "color histogram"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden color histogram.

  1. 1. Image enhancement effect on the performance of convolutional neural networks

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Xiaoran Chen; [2019]
    Nyckelord :Image Enhancement; Convolutional Neural Networks; Deep Learning; Transfer Learning;

    Sammanfattning : Context. Image enhancement algorithms can be used to enhance the visual effects of images in the field of human vision. So can image enhancement algorithms be used in the field of computer vision? The convolutional neural network, as the most powerful image classifier at present, has excellent performance in the field of image recognition. LÄS MER

  3. 2. Classification of skin pixels in images : Using feature recognition and threshold segmentation

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Emil Samuelsson; [2018]
    Nyckelord :;

    Sammanfattning : The purpose of this report is to investigate and answer the research question: How can current skin segmentation thresholding methods be improved in terms of precision, accuracy, and efficiency by using feature recognition, pre- and post-processing? In this work, a novel algorithm is presented for classification of skin pixels in images. Different pre-processing methods were evaluated to improve the overall performance of the algorithm. LÄS MER

  4. 3. Quality and real-time performance assessment of color-correction methods : A comparison between histogram-based prefiltering and global color transfer

    Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Författare :Linus Nilsson; [2018]
    Nyckelord :GPU; Color correction; Computer vision; Color transfer; Histogram-based prefiltering;

    Sammanfattning : In the field of computer vision and more specifically multi-camera systems color correction is an important topic of discussion. The need for color-tone similarity among multiple images that are used to construct a single scene is self-evident. LÄS MER

  5. 4. Color-based Human Hand Segmentation Based on Smart Classification of Dynamic Environments

    Master-uppsats, KTH/Teknisk informationsvetenskap

    Författare :Qihui Wang; [2017]
    Nyckelord :;

    Sammanfattning : Color is an effective and widely used feature for hand detection. In order to dealwith the problematic situations such as hand color diversity and the variationin background and lighting conditions, a multi-classifier supervised learning approachis proposed using the color information of each pixel. LÄS MER

  7. 5. Hand Segmentation from RGB Images in Uncontrolled Indoor Scenarios Using Randomized Decision Forests

    Master-uppsats, KTH/Teknisk informationsvetenskap

    Författare :Manu Martin; [2017]
    Nyckelord :;

    Sammanfattning : Hand segmentation is an integral part of many computer vision applications suchas gesture recognition, human activity detection, hand-eye coordination anal-ysis, gaze detection etc. Many of these applications require a solution whichcan segment hands in real-time while working in low-capacity computing en-vironments. LÄS MER