Abstract: A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.

Abstract: Embodiments associated with classifying a region of tissue using features extracted from nodules and surrounding structures. One example apparatus includes a feature extraction circuit configured to automatically extract a first set of quantitative features from a nodule represented in at least one CT image, and automatically extract a second set of quantitative features from the lung parenchyma region immediately surrounding the nodule represented in the at least one CT image; a feature selection circuit configured to select an optimally predictive feature set from the first set of quantitative features and the second set of quantitative features; and a training circuit configured to train a classifier using the optimally predictive feature set to assign malignancy risk to a lung nodule represented in a CT image of a region of tissue demonstrating lung nodules. A prognosis or treatment plan may be provided based on the malignancy risk.

Abstract: The present invention is an interpolation device and method. According to the present invention, a plurality of pixels close to a pixel to be interpolated are sequentially set to a central pixel. When a pixel difference closest to a threshold value among pixel differences between the central pixel and a plurality of pixels around the central pixel belongs to a quasi-edge decision range, an edge interpolation and a bilinear interpolation are mixed to interpolate the pixel to be interpolated. As a result, it is possible to prevent reduction in image quality due to an edge verdict caused by unstable input image signal and perform a stable interpolation operation.