No abstract

Abstract:We propose a novel color image arrangement method using an elastic transform based on histogram matching on some kinds of axes. The axes include the lightness axis and Principal Component (PC) axes obtained from Principal Component Analysis (PCA) in the RGB three-dimensional vector space that is an attribute space of color image. In this paper, we mainly present the principle of its automated color arrangement method especially based on Histogram Matching based on Gaussian Distribution (HMGD). Then, in order to detect the single-peak of histogram, we propose the method based on the curvature computation for the cumulative histogram. Furthermore, we conducted a questionnaire survey in order to investigate compare the changes in the feeling impression at the time of performing between Histogram Equalization (HE) processing and HMGD processing. As the result, we verify that where we perform HMGD processing to the images which have single-peak-histogram the feeling impression of images are improved.

No abstract

Errata on "Kansei Impression and Automated Color Image Arrangement Methods" (i) Page 62, Line 24 (left) Error From Eq.(3), we obtain Eq.(4) and (5) because y 0 =f(x 0) and y 0 + dx = φ(x 0 + dx). Corrected From Eq.(3), we obtain Eq.(4) and Eq.(5) because y 0 =φ(x 0) and y 0 + dx = φ(x 0 + dx).

No abstract