Color palette design is one important stage in color quantization. Color palette can reduce
the number of color on images with minimal distortion, so the produced color looks similar to …

Color histogram has been widely used in feature extraction to represent color feature of an
object in the image. In this paper, we identify which features that give high contribution in …

A dominant color histogram matching method for fruits classification was presented in this
paper. In classification of fruits based on machine vision, image was acquired with a color …

With the large and increasing amount of visual information available in digital libraries and
the Web, efficient and robust systems for image retrieval are urgently needed. A compact …

In this paper we present a comparison between three color characterizations methods
applied for fruit recognition, two of them are selected from two related works and the third is …

Fruits like apples are valued based on their appearance (ie color, sizes, shapes, presence of
surface defects) and hence classified into different grades. Grading process helps in …

Image based fruit recognition can be applied in several sectors including food industry, food
retail, and medical. This paper proposes a method to recognize Indonesian fruit from image …

In this paper, a novel average color vector algorithm is proposed, which can efficiently resist
noise and rapidly segment the different monochromatic targets in a color image. In a feature …

This paper presents an approach to color recognition using C4. 5 decision tree algorithm.
Before being employed to identify the color, the C4. 5 decision tree is trained with sample …

Several fruit recognition techniques are developed based upon color and shape attributes.
However, different fruit images may have similar or identical color and shape values. Hence …