Enumeration DeblurMode
DeblurMode
specifies the image processing algorithms applied to the localized zones containing barcodes, aimed at generating a binary image for extracting barcode data during the final phase of the barcode decoding process.
- JavaScript
enum EnumDeblurMode { /** Skips the process, no deblurring is applied. */ DM_SKIP = 0x00, /** Applies a direct binarization algorithm for generating the binary image. */ DM_DIRECT_BINARIZATION = 0x01, /** Utilizes a threshold binarization algorithm for generating the binary image, dynamically determining the threshold based on the image content. */ DM_THRESHOLD_BINARIZATION = 0x02, /** Employs a gray equalization algorithm to adjust the contrast and brightness, improving the clarity of the gray-scale image before binarization. */ DM_GRAY_EQUALIZATION = 0x04, /** Implements a smoothing algorithm to reduce noise and artifacts, smoothing out the gray-scale image before binarization. */ DM_SMOOTHING = 0x08, /** Uses a morphing algorithm to enhance the gray-scale image before binarization. */ DM_MORPHING = 0x10, /** Engages in a deep analysis of the grayscale image based on the barcode format to intelligently generate the optimized binary image, tailored to complex or severely blurred images. */ DM_DEEP_ANALYSIS = 0x20, /** Applies a sharpening algorithm to enhance the edges and details of the barcode, making it more distinguishable on the gray-scale image before binarization. */ DM_SHARPENING = 0x40, /** Decodes the barcodes based on the binary image obtained during the localization process. */ DM_BASED_ON_LOC_BIN = 0x80, /** Combines sharpening and smoothing algorithms for a comprehensive deblurring effect, targeting both clarity and smoothness of the gray-scale image before binarization. */ DM_SHARPENING_SMOOTHING = 0x100, /** Performs deblur process by utilizing a neural network model. */ DM_NEURAL_NETWORK = 0x200, /** Placeholder value with no functional meaning. */ DM_END=0xFFFFFFFF, /** Reserved for future use. */ DM_REV = -2147483648 }