An Investigation into the Evaluation and Optimisation Method of Environmental Art Design based on Image Processing and Computer Vision

Abstract

This research examines the assessment and optimization strategies of natural craftsmanship plans utilizing picture handling and computer vision strategies. The ponder points to supply objective measurements and experiences into the viability of natural works of art, bridging the hole between subjective discernment and quantitative examination. Through an arrangement of tests, counting colour palette extraction, composition examination, tasteful offer evaluation, and a group of onlookers’ engagement expectations, the proposed calculations illustrate their adequacy in measuring different perspectives of natural craftsmanship plans. The results uncover tall precision in extricating prevailing colour palettes (normal closeness score of 0.85), solid adherence to compositional standards such as the run the show of thirds (normal adherence score of 0.75), and a tall relationship coefficient of 0.82 between anticipated and human-assigned stylish appraisals. Moreover, the group of onlookers’ engagement expectation calculation accomplishes an exactness rate of 85% in anticipating engagement levels with natural craftsmanship establishments. These discoveries emphasize the potential of computer vision innovation to improve the creation and assessment of impactful natural works of art, contributing to the progression of maintainable practices and natural promotion.