Organisation of image spatial filtration core and device to this end

FIELD: physics.

SUBSTANCE: in compliance with this method, binary image of initial image fragments is generated by linear convolution with the help of spatial filter, its core including central and peripheral parts. Note here that linear convolution is conducted separately with spatial filter central core and linear parts. Major components used as binary images of initial image fragments are constructed wherein spatial filter central part features an exponential shape. Note also that peripheral part has negative factors and is constructed with the help of exponent proceeding from the sum of said central and peripheral parts being zero.

EFFECT: higher quality.

2 cl, 5 dwg

 

The invention relates to the field of image processing, formed, in particular, rulers and matrix photodetectors, and can be used to filter images in the systems of automatic recognition for normalization and centering of image histograms.

The known method of filtering images [EN 2407056 C2, G06T 5/20, G06K 9/40, 02.07.2007], according to which carry out the determination of the first bandwidth (PP) on the basis of the original image data, perform a calculation of the matrix of coefficients of the filter (KF) for implementing frequency characteristics corresponding to the restriction of bandwidth (FC), using the first PP, shape data of the first filtered image by filtering the original image data using the first matrix KF, get the value of objective assessment of image quality data of the first filtered image and the calculation of the distribution coefficient (CU), used to determine the optimal PP, based on the value of objective assessment of image quality to determine the optimal PP corresponding to the calculated CU, by reference to the table which defines a corresponding relationship between CU and optimal PP, compute the optimal matrix KF for implementing frequency characteristics corresponding to the Ogre�the restraint on the inverter, using optimal PP, and form data is optimally filtered image by filtering the original image data using the optimal matrix KF.

The disadvantage of this method is the relatively narrow scope of application, due to the fact that the method has limited use in systems of automatic recognition, since it can not form a binary image of the original image, which is the most preferable for image recognition in real time.

The closest in technical essence to the proposed method is [RU 2494568, C2, H04N 7/32, G06K 9/40, 27.09.2013], which contains the definition stage, which is determined in accordance with the number of taps of the filter used for filtering, the number of pixels across the width of the strip placed outside a macroblock including the reference block representing a block of a decoded reference frame, and in contact with the specified reference block, the step of receiving, which is obtained from the reference frame specified reference block and the band corresponding to the number of pixels found in step definitions if the reference block representing a block of the reference frame corresponding to the block included in the image subjected to the filtering is in contact� with a border of the specified macroblock, includes base plate, and a phase filter, which performs filtering of the reference image block and the bands obtained in the step of receiving, at a stage filter performs low pass filtering in respect of a differential image between multiple images, perform high-pass filtering in respect of the image obtained by low pass filtering performed by the first filtering means, and adds the image obtained by low pass filtering performed by the first filtering means and the image obtained by the high-pass filter, perform the second filtering means, to any of the plurality of images to generate a predicted image in units of macroblocks.

The disadvantage of this method is the relatively narrow scope of application, due to the fact that the method has limited use in systems of automatic recognition, since it can not form a binary image of the original image, which is the most preferable for image recognition in real time.

The problem to be solved by the present invention regarding the method, is to expand the field of application by providing the who�agnosti normalization and centering of the histograms of the original images, that, in turn, provides high-quality formation of the binary image of the original image.

The required technical result consists in expanding the field of application of the method by introducing an additional Arsenal of technical means (of a method), which allows us to generate a binary image of the original image, which is the most appropriate for image recognition in real time.

The problem is solved, and the required technical result is achieved in that in the method based on the sequential formation of fragments of the original image in the form of a discrete matrix of video signals, according to the suggested method to form a binary image of the fragments of the original image by the initial linear spatial filter convolution, the kernel of which contains Central and peripheral parts, the initial linear convolution is produced separately from the Central and linear portions of the spatial filter kernel, the results of which form the modules of their difference is used as the binary images of fragments of the original image, with the Central part of the spatial filter has an exponential form, and the peripheral portion has a negative coefficient and is formed using exponential basis and� the condition of equality to zero of the sum of the Central and peripheral parts.

Also known device for filtering images.

One of such devices [RU 2354071, C2, H04N 5/14, 24.07.2009] contains series-connected sensor analog video signal, analog-to-digital Converter, the block in which with the aid of amplifiers and adders to calculate the brightness value of the filtered image pixel, the block defining the start and end of processing of the frame, and a control unit to control the values of the gains of the amplifiers.

The disadvantage of this device is relatively narrow functionality that is due to the fact that the device has limited use in systems of automatic recognition, since it can not form a binary image of the original image, which is most appropriate for high-speed image recognition.

The closest in technical essence to the proposed device is image processing [EN 2494568, C2, H04N 7/32, G06K 9/40, 27.09.2013], comprising means for determining to determine in accordance with the number of taps of the filter used for the filtering process, the number of pixels across the width of the strip placed outside a macroblock including the reference block representing a block of a decoded reference frame, and in contact with the specified Gro�tion unit, means for receiving to receive from the reference frame of the specified reference block and the band corresponding to the number of pixels defined means of determining if the reference block representing a block of the reference frame corresponding to the block included in the image subjected to the filtering is in contact with the border of the specified macroblock including the reference block, and filtering means for filtering the reference image block and the bands obtained by means of obtaining, filtering means includes first filtering means for low pass filtering in respect of a differential image between the image second filtering means for filtering high frequency in relation to the image obtained by low pass filtering performed by the first filtering means, and an adder for adding the image obtained by low pass filtering performed by the first filtering means and the image obtained by the high-pass filter, perform the second filtering means, to any of the plurality of images to generate a predicted image in units of macroblocks.

The disadvantage of this device is relatively narrow functionality that is caused �eat the device has limited use in systems of automatic recognition, since it can not form a binary image of the original image, which is most appropriate for high-speed image recognition.

The problem to be solved by the present invention regarding the method, is to expand the functionality of the device, aimed at securing the normalization and centering of the histograms of the original images that, in turn, provides high-quality formation of the binary image of the original image.

The required technical result is to increase functionality by introducing additional Arsenal of technical means to enable normalization and centering of the histograms of the original images that, in turn, provides high-quality formation of the binary image of the original image, which is most appropriate for high-speed image recognition.

The problem is solved, and the required technical result is achieved in that the device containing the block of the reference frame in the form of a discrete matrix of video signals, as well as a filtration media according to the proposed us�the master entered the group of amplifiers, the input of each of which is connected with the corresponding output block of the reference frame, and a filtration media contain the Central and peripheral parts, each of which is made in the form of a weighted adder inputs, and an algebraic adder, the inputs of the adders with weighted inputs connected to the outputs of the amplifiers, and the outputs are connected with inputs of the algebraic adder, the module output signal which is the output device.

The drawing shows:

Fig.1 - diagram of the device for implementing the method of organization of spatial filtering kernel;

Fig.2 - core spatial filter;

Fig.3 - the Central part of the spatial filter kernel;

Fig.4 - peripheral part of the spatial filter;

Fig.5 - the original image in different spectral bands and presented them under their histograms and images of histograms after filtering.

The device for implementing the method of the organization of the core spatial filtering (Fig.1) contains the block 1 of the supporting frame in the form of a discrete matrix of video signals (represented a special case in the form 9 of photosensitive elements (photodiodes).

The device for implementing the method of organization of spatial filtering kernel also contains a group of 2 amplifiers, the input of each of which are connected�Yong with a corresponding output block 1 reference frame, and a filtration media comprising a Central portion in the form of the adder 3 with weighted inputs 4 (resistors when you run them in analog form) and a peripheral portion in the form of the adder 5 with weighted inputs 6 (resistors when you run them in analog form, and an algebraic adder 7, the module output signal which is the output device, wherein the outputs of the adders 3,5-weighted inputs connected to the outputs of the amplifiers 2, and outputs connected to inputs of the algebraic adder 7.

The device for implementing the method of the organization of the core spatial filtering as follows.

The image formed by the modern matrix photodetectors and rulers, focused on storage and their subsequent visualization of the human operator. However, in recent years significant efforts have been made to use these images in the interests of the task of automatic detection and classification of objects of the specified class.

Typically, such image is pre-processed, in particular binarization or fragmentation. To obtain a satisfactory binary image histogram of the original image should be centered. This transformation is reduced to the linear convolution kernel of a special type with the source image.

As �provided research, the histogram of the converted image is committed to one - or two-mode mind. Moreover, the optimal binarization threshold from the point of view of significant differences between the respective average values you can choose from a whole interval. When this is achieved pronounced robust in nature and ensures an acceptable quality of binarization in a wide range of variable monopolowa conditions. For definiteness image centered with one - or two-mode histogram will assume to be normalized.

Image, we get the matrix photodetectors or lines in different spectral bands, usually not centered and not wearing one - or two-mode character, indicating non-optimal time of exposure of the image on the photodetector and/or an insufficient dynamic range of the photodetector. For the normalization of such images is proposed the core spatial filtering of a special type, a graphical representation of this kernel is shown in Fig.2. This type of nucleus is due to the requirements of smoothness and continuity of the integral properties of the kernel.

The core of the spatial filter consists of two parts of the P-center and M-periphery, which is connected between a differential backup. The core is made up of two parts to provide a simple�Antonovo differentiation of the image in a local basis, that allows you to remove the constant component of the image. A necessary requirement for such kernels is the equality to zero of the sum of the P-center and M-periphery. Thus, the accessory nucleus to the class of wavelet functions from the point of view of interaction between two parts of the P-center and M-periphery. The components of the spatial filter kernel shown in Fig.3 and 4.

Linear convolution of the spatial filter kernel Q=[q(i, j)] of size m×n with image S=[s(i,j)] of size k×d allows you to generate the image U=[u(i,j)] of size (k-m)×(d-n).

Linear convolution is:

Hardware implementation of the filter kernel in the spatial filter shown in Fig.1.

Unit 1 reference frame in the form of a matrix of photosensitive elements (photodiodes) are kd. The signal from each photosensitive element is amplified by a separate amplifier 2 (operational amplifiers A1-An) with a gain of Ku, it is necessary to increase the signal level and sustainable filtration in the District center and in the M-periphery, as well as sustainable operation of the adders in a frequency band F. the Amplified signals are summed with different ratios specified by the 4 resistors (R1.1-R1.n). Weighting factors are chosen based on the values of the wavelet kernel functions at appropriate points to the adder 3, �Bratwa R-centre, and the resistor 6 (R2.1-R2.n) to the adder 5, forming M-periphery. The difference between the P-center and M-periphery, followed by the rise of the output signal to the positive region formed by algebraic adder 7 and is the resultant useful signal on which image is formed by the U.

The original image and the result after convolution kernel in the spatial filter, and their histogram is shown in Fig.5.

Thus, the claimed method of the organization of the core spatial filtering and subsequent linear convolution with images in different spectral bands allow you to normalize the image. Histograms of normalized images are centered and strive for one - or two-mode mind. Such normalized image well binarized, wherein the binarization threshold is chosen from a whole range of values than achieved marked robust character that provides an acceptable quality of binarization in a wide range of variable monopolowa conditions.

Consequently, thanks to the introduction of an additional Arsenal of technical means operations for fashion and items and blocks for the device - achieved relevant technical results of the expansion of the scope of application of the method and the enhanced functionality devices�.

1. The technique of spatial filtering kernel based on the sequential formation of fragments of the original image in the form of a discrete matrix of video signals, characterized in that form the binary image of the fragments of the original image by the initial linear spatial filter convolution, the kernel of which contains Central and peripheral parts, the initial linear convolution is produced separately from the Central and linear portions of the spatial filter kernel, the results of which form the modules of their difference is used as the binary images of fragments of the original image, with the Central part of the spatial filter has an exponential form, and the peripheral portion has a negative coefficient and is formed using exponents proceeding from the condition of equality to zero of the sum of the Central and peripheral parts.

2. The device for implementing the method according to claim 1, containing a block of the reference frame in the form of a discrete matrix of video signals, and filtering means, characterized in that introduced a group of amplifiers, the input of each of which is connected with the corresponding output block of the reference frame, and a filtration media contain the Central and peripheral parts, each of which is made in the form of a weighted adder inputs, and �algebraicheski the adder, the outputs of the adders with weighted inputs connected to the outputs of the amplifiers, and the outputs are connected with inputs of the algebraic adder, the module output signal which is the output device.



 

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