Method for extraction of table and figure region from engineering drawings

A system for analyzing images and generating a report, the system comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, causes the processor to:
• process the image that corresponds to a segmented binary image for extracting a plurality of horizontal lines and a plurality of vertical lines from a foreground of the image;
• detect a set of candidate table regions based on intersection of lines from the plurality of horizontal lines and the plurality of vertical lines in the image using a morphological technique;
• calculate textual region density corresponding to each of the set of candidate table regions in the image, based on computation of text area and computation of area of each of the set of candidate table regions;
• identify at least one relevant table region from the set of candidate table regions in the image, based on the textual region density being above a pre-defined threshold value;
• identify at least one additional region in the image, based on the textual region density being below or equal to the pre-defined threshold value, wherein the at least one additional region is different from the at least one relevant table region;
• identify a text free region from the at least one additional region in the image, based on extracting at least one textual region in the at least one additional region, wherein the text free region is dilated using a morphological technique;
• and
• identify at least one figure region from the dilated text free region, using a contour-based detection technique.

A non-transitory computer-readable medium storing computer-executable instructions for analysing images and generating a report, the computer-executable instructions configured for:

• processing the image that corresponds to a segmented binary image for extracting a plurality of horizontal lines and a plurality of vertical lines from a foreground of the image;
• detecting a set of candidate table regions based on intersection of lines from the plurality of horizontal lines and the plurality of vertical lines in the image using a morphological technique;
• calculating textual region density corresponding to each of the set of candidate table regions in the image, based on computation of text area and computation of area of each of the set of candidate table regions;
• identifying at least one relevant table region from the set of candidate table regions in the image, based on the textual region density being above a pre-defined threshold value;
• identifying at least one additional region in the image, based on the textual region density being below or equal to the pre-defined threshold value, wherein the at least one additional region is different from the at least one relevant table region;
• identifying a text free region from the at least one additional region in the image, based on extracting at least one textual region in the at least one additional region, wherein the text free region is dilated using a morphological technique;
• and
• identifying at least one figure region from the dilated text free region, using a contour-based detection technique.