An image processing system, comprising: a learning processor configured to learn, in advance, correspondence between a region of input image data input to the image processing system and a colourless pattern that is applied to the region of the previously input image data to generate a learned result, wherein correspondence information is generated based on the learned result obtained by the learning processor; a memory configured to store a table storing the correspondence information that associates features of a region of image data with a colourless pattern; an image segmenter configured to segment input image data into a plurality of regions; a features extractor configured to obtain features of at least one of the plurality of regions segmented from the input image data; and a colourless data generator configured to use said table storing the correspondence information to obtain a colourless pattern that corresponds to the features obtained for a respective region of the input image data and to generate colourless image data using the colourless pattern; and characterised by: a memory configured to store a table storing keyword parameter correspondence information that associates a plurality of keywords each reflecting the degree of segmentation of the input image data with a plurality of segmentation parameters each specifying the degree of segmentation; means for displaying a list of the plurality of keywords to a user to allow the user to select one of the plurality of keywords, wherein the image segmenter uses the keyword parameter correspondence information in table to obtain a segmentation parameter that corresponds to the selected keyword, and segments the input image data into the plurality of regions using the obtained segmentation parameter; and wherein the features extracted from the at least one region include the set of an average brightness value, a standard deviation brightness value, an average hue value, and an average saturation value respectively obtained for the region. a learning processor configured to learn, in advance, correspondence between a region of input image data input to the image processing system and a colourless pattern that is applied to the region of the previously input image data to generate a learned result, wherein correspondence information is generated based on the learned result obtained by the learning processor; a memory configured to store a table storing the correspondence information that associates features of a region of image data with a colourless pattern; an image segmenter configured to segment input image data into a plurality of regions; a features extractor configured to obtain features of at least one of the plurality of regions segmented from the input image data; and a colourless data generator configured to use said table storing the correspondence information to obtain a colourless pattern that corresponds to the features obtained for a respective region of the input image data and to generate colourless image data using the colourless pattern; and characterised by: a memory configured to store a table storing keyword parameter correspondence information that associates a plurality of keywords each reflecting the degree of segmentation of the input image data with a plurality of segmentation parameters each specifying the degree of segmentation; means for displaying a list of the plurality of keywords to a user to allow the user to select one of the plurality of keywords, wherein the image segmenter uses the keyword parameter correspondence information in table to obtain a segmentation parameter that corresponds to the selected keyword, and segments the input image data into the plurality of regions using the obtained segmentation parameter; and wherein the features extracted from the at least one region include the set of an average brightness value, a standard deviation brightness value, an average hue value, and an average saturation value respectively obtained for the region. a memory configured to store a table storing keyword parameter correspondence information that associates a plurality of keywords each reflecting the degree of segmentation of the input image data with a plurality of segmentation parameters each specifying the degree of segmentation; means for displaying a list of the plurality of keywords to a user to allow the user to select one of the plurality of keywords, wherein the image segmenter uses the keyword parameter correspondence information in table to obtain a segmentation parameter that corresponds to the selected keyword, and segments the input image data into the plurality of regions using the obtained segmentation parameter; and wherein the features extracted from the at least one region include the set of an average brightness value, a standard deviation brightness value, an average hue value, and an average saturation value respectively obtained for the region.