Abstract: The invention relates to a computer-implemented method for automatically extracting data from a scatter plot. The method comprises receiving a digital image of a scatter plot; analyzing the received digital image for identifying a plurality of pixel sets, each pixel set being a group of adjacent pixels; analyzing the pixel sets in the received image or in a derivative of the received image for generating a plurality of templates; comparing the templates with pixels of a target image for identifying matching templates; identifying data points for the identified similar templates; assigning to each identified data point a data series; and returning the identified data points.

Abstract: A method for automatically extracting data from a chart includes generating and displaying a graphical user interface (GUI) enabling a user to select a screen area covering one or more screens at least partially, the screen area displaying a chart; in response to determining that the user has selected the screen area, automatically taking a screenshot of the selected screen area and automatically performing an image analysis of the screenshot for extracting data from the chart contained in the screenshot; in response to determining that the image analysis of the screenshot has completed successfully, automatically displaying or enabling a selectable GUI element; and in response to a select action of the user having selected said selectable GUI element, outputting the extracted data.

Abstract: The invention relates to an image analysis method for automatically extracting data from a bar chart. A processor receives a digital image of a bar chart comprising a plurality of o-bars. The processor provides a plurality of hypothesis charts respectively specifying a sequence of h-bars, a particular way of grouping the h-bars into categories, and an injective mapping from the o-bars to the h-bars. The processor compares the h-bars of the hypothesis charts with the o-bars of the bar chart in the image for assigning the o-bars to series and categories in accordance with the one of the hypothesis charts whose h-bars are most similar to the o-bars and for returning the series and the category assigned to said o-bars.

Abstract: The invention relates to an image analysis method for automatically extracting data from a bar chart. A processor receives a digital image of a bar chart comprising a plurality of o-bars. The processor provides a plurality of hypothesis charts respectively specifying a sequence of h-bars, a particular way of grouping the h-bars into categories, and an injective mapping from the o-bars to the h-bars. The processor compares the h-bars of the hypothesis charts with the o-bars of the bar chart in the image for assigning the o-bars to series and categories in accordance with the one of the hypothesis charts whose h-bars are most similar to the o-bars and for returning the series and the category assigned to said o-bars.

Abstract: The invention relates to a method for automatically extracting data from a chart. A capture module generates and displays a GUI. The GUI enables a user to select a screen area covering one or more screens such that a screen area displaying a chart is selected. In response to determining that the user has selected the screen area and does not change the selection, the capture module automatically takes a screenshot of the selected screen area and automatically extracts data from the chart. In response to determining that the image analysis successfully extracted the data, the capture module displays or enables a selectable GUI element. In response to a select action of the user of the selectable GUI element, the capture module outputs the extracted data.

Abstract: The invention relates to a computer-implemented method for automatically extracting data from a scatter plot. The method comprises receiving a digital image of a scatter plot; analyzing the received digital image for identifying a plurality of pixel sets, each pixel set being a group of adjacent pixels; analyzing the pixel sets in the received image or in a derivative of the received image for generating a plurality of templates; comparing the templates with pixels of a target image for identifying matching templates; identifying data points for the identified similar templates; assigning to each identified data point a data series; and returning the identified data points.