Deep learning based implementation of Automated Text Detection Algorithm | Matlab Based Approach скачать в хорошем качестве

Deep learning based implementation of Automated Text Detection Algorithm | Matlab Based Approach

#free #matlab #microgrid #tutorial #electricvehicle #predictions #project This example showed you how to detect text in an image using the MSER feature detector to first find candidate text regions, and then it described how to use geometric measurements to remove all the non-text regions. This example code is a good starting point for developing more robust text detection algorithms. This is a common task performed on unstructured scenes. Unstructured scenes are images that contain undetermined or random scenarios. For example, you can detect and recognize text automatically from captured video to alert a driver about a road sign. Using the detectMSERFeatures function to find all the regions within the image and plot these results. Although the MSER algorithm picks out most of the text, it also detects many other stable regions in the image that are not text. You can use a rule-based approach to remove non-text regions.