Table of contents

Go to DCV Architecture

The following diagram shows how sections connect to each other to form tasks:

flowchart LR;
     A[1.Region Pre-Detection]-->C[2.1.Shared Detection]
     C---D[2.2.Barcode Localization]
     C---E[2.2.Text-line Localization]
     C---F[2.2.Document Detection]
     D---G[3.Barcode Decoding]
     E---H[3.Text-line Recognition]
     F---I[3.Document Normalization]
     style A fill:#f96,stroke:#333,stroke-width:4px

In this article, we’ll discuss the first section of a task - Region Pre-Detection:

Section 1 - Region Pre-Detection

The purpose of this section is to reduce the overall time cost of the task by finding regions of interest (ROIs) and thus ignoring other parts of the image during subsequent processing. It is not required for the task and can be skipped in many cases.

Constituting Stages

This section consists of multiple stages:

  1. Cropping: to crop out the original ROI specified by the user. If not specified, return the original image as a whole.
  2. Down-scaling: to down-scale a massive image.
  3. Grayscaling: to convert a colour image to grayscale.
  4. Transforming: to transform a grayscale image.
  5. Pre-Detecting: to pre-detect the regions exhibit specific features.

Output and Parameters

Each of the five stages has its own output (known as an intermediate result) and a specific parameter that can regulate the operation:

Stage Intermediate Result Type Related Parameter
Cropping IRUT_COLOUR_IMAGE Location
Down-scaling IRUT_SCALED_DOWN_COLOUR_IMAGE ScaleDownThreshold
Grayscaling IRUT_GRAYSCALE_IMAGE ColourConversionModes
Transforming IRUT_TRANSFORMED_GRAYSCALE_IMAGE GrayscaleTransformationModes
Pre-Detecting IRUT_PREDETECTED_REGIONS RegionPredetectionModes

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