The solution of the problem of simplifying the images for the subsequent minimization of the image bit depth

Electro-Optical and Infrared Systems: Technology and Applications XIX

Zelensky²,

Alepko³

et al. 2022

The article proposes a fusion technique and an algorithm for combining images recorded in the IR and visible spectrum in relation to the problem of processing products by robotic complexes in dust and fog. Primary data processing is based on the use of a multi-criteria processing with complex data analysis and cross-change of the filtration coefficient for different types of data. The search for base points is based on the application of the technique of reducing the range of clusters (image simplification) and searching for transition boundaries using the approach of determining the slope of the function in local areas. As test data used to evaluate the effectiveness, pairs of test images obtained by sensors with a resolution of 1024x768 (8 bit, color image, visible range) and 640x480 (8 bit, color, IR image) are used. Images of simple shapes are used as analyzed objects.

“…4. Simplifying images [14]. The image bit-minimization procedure is based on the analysis of histograms of color gradients and the merging of merged regions with small amplitudes.…”

Section: The Algorithm Of Multicriteria Methods Preprocessingmentioning

confidence: 99%

Section: Base Algorithm For Merging Images Recorded In the Ir And Vis...mentioning

confidence: 99%

Development of a fusion technique and an algorithm for merging images recorded in the IR and visible spectrum in dust and fog

Electro-Optical and Infrared Systems: Technology and Applications XIX

Zelensky²,

Alepko³

et al. 2022

“…2.2. Simplification of images using the approach described in [16]. The proposed approach implements a step-by-step analysis of the color gradients of the function and the transfer of rare elements to the neighboring more common area.…”

Section: We Calculate the Coefficient Of Detail Of Objectsmentioning

confidence: 99%

Improving the quality and visibility of objects in images captured in difficult weather conditions

Environmental Effects on Light Propagation and Adaptive Systems V

Zelensky²,

Ilyukhin³

et al. 2022

The article proposes an approach to improve the visual quality of generated images based on the use of primary data processing methods. To reduce the effect of noise associated with the appearance of dust or water droplets, a multi-criteria filtering method is proposed for use. The proposed method allows two-pass processing. At the first stage, the method uses a criterion that forming strong noise suppression with blurring of the boundaries. Based on the generated data, we perform filtering while preserving and strengthening the boundaries of objects. Next, we perform the formation of a combined approach to fusion of image. In the case of low illumination, the noise component is strong and its suppression is an important problem. In the case of fog, the task is complicated, since the boundaries of objects are blurred. An adaptive non-linear alpha-contrasting algorithm is used for elimination and compensation. Pairs of test images obtained by sensors with a resolution of 6000x4000 (8 bit, color image, visible range) are used as test data used to evaluate the effectiveness, pairs of images with the same illumination but different fog density are used for the test. Images of simple shapes are used as analyzed objects.

“…We perform operations sequentially returning to step 4.3. The absorption operation is implemented by replacing elements from the replacement histogram block with the neighboring block, pixel by pixel, respectively [24].…”

Section: The Exit Criterion From the Calculation Is The Achievement O...mentioning

confidence: 99%

Formation of an algorithm for increasing the accuracy of restoring the boundaries of objects obtained to create 3D structures

Artificial Intelligence and Machine Learning in Defense Applications IV

Voronin

Zhdanova

et al. 2022

The article proposes an approach to improve the accuracy of restoring the boundaries of objects obtained to create 3D structures by analyzing data obtained by a machine vision system. At the first stage, the operation of reducing the number of color gradients is performed, the technique allows you to combine similar values into common enlarged structures. This operation allows you to simplify the analyzed objects, since small details are not important. In parallel with the first operation of denoising is performed. The paper proposes the application of the multicriteria processing method with the possibility of smoothing locally stationary sections and preserving the boundaries of objects. As an algorithm for strengthening the boundaries of objects, a modification of the combined multi-criteria method is used, which makes it possible to reduce the effect of salt/pepper noise and impulse failures, as well as to strengthen the detected boundaries of objects. The resulting images with enhanced boundaries are fed to the input of the block for constructing three-dimensional objects. The data obtained by both a stereo pair and a camera based on 3D construction using structured light were used in the work. On a set of synthetic data simulating the work in real conditions, the increase in the efficiency of the system using the proposed approach is shown. Based on field data under conditions of interfering factors in the form of dust/fog, the applicability of the proposed approach for solving problems of increasing the accuracy of restoring the boundaries of objects obtained to create three-dimensional structures is shown. Images of simple shapes are used as analyzed objects.