1 Introduction Moment based painterly rendering

A few years ago I implemented the painterly rendering algorithm described by Shiraishi and Yamaguchi [9]

Staff Line Detection by Skewed Projection

Most optical music recognition systems start image analysis by the detection of staff lines. This work explores simple techniques from document image analysis, such as line segment extraction, to guide the staff line identification process. Specifically, the overall document skew is computed from the detected line segments. Staff lines are then projected in the direction of the detected skew and identified as maxima in the histogram of projections. The method is simple to code and robust even for unrealistically large rotations of the input data.

Schemata Theory for the Real Coding and Arithmetical Operators

The Schemata Theory analyzes the effect of the selection process, mutation and crossover over the number of individuals that belong to a given schema, within generations. This analysis considers, in its original form, the binary coding and operators. In this article, we present an analogous study, focusing on the real number coding and arithmetical operators. Unfortunately, the conventional schema definition is tightly dependent on discrete alphabets. Therefore, following a generalization of the concept of schema, we present a particular definition that suits better the continuous domain. Using this new definition, we reach an expression simila

Multiscale Moment-Based Painterly Rendering

... images. Our method extends the image-moment stroke placement algorithm in two ways: we employ a multiscale scheme for computing strokes and we provide a parametrized mechanism for controlling stroke distribution. In addition, we introduce a flexible implementation framework based on the extension language Lua