A tool is needed for music instrument learners to get feedbacks on the correctness of their performances of a particular piece of music. The invention disclosed here is such a tool that can provide music instrument players instant feedback on note pitch and rhythms accuracy based on sheet music. This is accomplished through audio signal processing, sheet music image processing, and conversion of both analogue images and audio signals into standard digital music representation so a comparison can be done and hence a feedback can be presented to the player. An advanced feature will allow users to save the data to the cloud and retrieve later for comparison of progress. It also will allow user to participate an online competition with other players of the same piece of music.

A method of rectifying a text image, a training method, an electronic device, and a medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, deep learning technology, intelligent transportation and high-precision maps. An exemplary implementation includes: performing, based on a gating strategy, a plurality of first layer-wise processing on a text image to be rectified, so as to obtain respective feature maps of a plurality of layer levels, wherein each of the feature maps includes a text structural feature related to the text image to be rectified, and the gating strategy is configured to increase an attention to the text structural feature; and performing a plurality of second layer-wise processing on the respective feature maps of the plurality of layer levels, so as to obtain a rectified text image corresponding to the text image to be rectified.

Disclosed is an image analysis method implemented by a computer, the method including analyzing a partial image which is a part of an image of a planar subject, generating partial-image analysis data representing a characteristic of the partial image, comparing, for each of a plurality of images, candidate-image analysis data with the partial-image analysis data, the candidate-image analysis data representing a characteristic of each of the plurality of images, and selecting a candidate image among the plurality of images, the candidate image including a part corresponding to the partial image.

Disclosed herein is a method of identifying a line of a stave or a stem of a note in a digital image of a musical score comprising: converting the digital image into a matrix in which at least one cell of the matrix corresponds to a pixel of the digital image; setting the at least one cell of the matrix to a first value if the corresponding pixel of the digital image has a pixel intensity above a threshold intensity; identifying adjacent cells having the first value as linked cells, the adjacent cells corresponding to pixels being adjacent in one of a horizontal direction or a vertical direction of the digital image; identifying linked cells having a number of cells exceeding a threshold as a chain of cells; grouping adjacent chains of cells into a group of chains; determining a dimension of the group of chains; and comparing the dimension with a dimension threshold; wherein, if the dimension is above the dimension threshold, determining that pixels corresponding to linked cells of the group of chains correspond to a line of a stave if the adjacent cells corresponding to pixels being adjacent in a horizontal direction of the digital image or a stem of a note if the adjacent cells correspond to pixels being adjacent in a vertical direction of the digital image.

Disclosed is an image analysis method implemented by a computer, the method including analyzing a partial image which is a part of an image of a planar subject, generating partial-image analysis data representing a characteristic of the partial image, comparing, for each of a plurality of images, candidate-image analysis data with the partial-image analysis data, the candidate-image analysis data representing a characteristic of each of the plurality of images, and selecting a candidate image among the plurality of images, the candidate image including a part corresponding to the partial image.

A handwritten music sign recognition device (10) has: a touch information obtaining part (21) which obtains, as position information, a position of an input means on a screen every time the input means moves, from when the input means touches the screen until when the input means is moved away therefrom; a vector information creation part (22) which creates attributes of a vector indicating a trace of movement of the input means as vector information based on the position information; and a stroke characteristic amount derivation part (23) which derives a characteristic amount of a stroke based on the vector information included in the stroke information.

An image correction device includes a line segment detection module, a shape specification module and an image correction module. The line segment detection module detects from a captured image obtained by photographing a document a plurality of line segments that correspond to the notation on the surface of the document. The shape specification module specifies shape approximation lines that approximate the surface shape of the document from the plurality of line segments. The image correction module utilizes the shape approximation lines specified by the shape specification module to correct the captured image.

Disclosed herein is a method of identifying a line of a stave or a stem of a note in a digital image of a musical score comprising: converting the digital image into a matrix in which at least one cell of the matrix corresponds to a pixel of the digital image; setting the at least one cell of the matrix to a first value if the corresponding pixel of the digital image has a pixel intensity above a threshold intensity; identifying adjacent cells having the first value as linked cells, the adjacent cells corresponding to pixels being adjacent in one of a horizontal direction or a vertical direction of the digital image; identifying linked cells having a number of cells exceeding a threshold as a chain of cells; grouping adjacent chains of cells into a group of chains; determining a dimension of the group of chains; and comparing the dimension with a dimension threshold; wherein, if the dimension is above the dimension threshold, determining that pixels corresponding to linked cells of the group of chains correspond to a line of a stave if the adjacent cells corresponding to pixels being adjacent in a horizontal direction of the digital image or a stem of a note if the adjacent cells correspond to pixels being adjacent in a vertical direction of the digital image.

Disclosed herein is a method of identifying a line of a stave or a stem of a note in a digital image of a musical score comprising: converting the digital image into a matrix in which at least one cell of the matrix corresponds to a pixel of the digital image; setting the at least one cell of the matrix to a first value if the corresponding pixel of the digital image has a pixel intensity above a threshold intensity; identifying adjacent cells having the first value as linked cells, the adjacent cells corresponding to pixels being adjacent in one of a horizontal direction or a vertical direction of the digital image; identifying linked cells having a number of cells exceeding a threshold as a chain of cells; grouping adjacent chains of cells into a group of chains; determining a dimension of the group of chains; and comparing the dimension with a dimension threshold; wherein, if the dimension is above the dimension threshold, determining that pixels corresponding to linked cells of the group of chains correspond to a line of a stave if the adjacent cells corresponding to pixels being adjacent in a horizontal direction of the digital image or a stem of a note if the adjacent cells correspond to pixels being adjacent in a vertical direction of the digital image.

A musical score image analyzer includes a processor and a memory having stored thereon instructions executable by the processor to cause the musical score image analyzer to perform: detecting musical symbols in a musical score image obtained by capturing a musical score having a plurality of staffs arranged in parallel to each other and the musical symbols respectively disposed in prescribed positions in the staffs; specifying a symbol column having the detected musical symbols which are arranged in a column; calculating an index relating an image capturing based on the symbol column; and instructing a capturing device to perform capturing operation of a still image for the musical score image when the index satisfies a prescribed condition.