1. Introduction: visual uncertainty, categorization, objectivity and practices and
values of imprecision.- 2. From ordinary to mathematical categorization in the visual world… of words,
pictures and practices.- 3. Vagueness and fuzziness in words and predication.- 4. Representations: from words to images.- 5. Epistemology, aesthetics and pragmatics of scientific and other images:
visualization, representation and reasoning.- 6. Visual representation: from perceptions to pictures.- 7. Vague pictures: epistemology, aesthetics and pragmatics of fuzziness, from fuzzy perception to fuzzy pictures.- 8. Blur as vagueness: seeing images vaguely and seeing vague images; perception and representation.- 9. Vague pictures as pictures.- 10. Vague pictures as vague representations and representing.- 11. The cognitive values of imprecision: towards a scientific epistemology, aesthetics and pragmatics of fuzziness, contextual lessons from the history of picture-making practices.- 12. Introduction: fuzzy-set representation and processing of fuzzy images; nonlinguistic vagueness as scientific practice; scientific epistemology, aesthetics, methodology and technology of fuzziness.- 13. Application of mathematics in the representation of images: from geometry to set theory.- 14. Cognitive framework of set-theoretic methodology of analysis and synthesis: categorization, classification and many faces of digital geometry.- 15. Conceptual resources and philosophical grounds in set-theoretic models of vagueness: fuzzy, rough and near sets.- 16. Analytic and synthetic forms of vague categorization.- 17. From intrinsic to extrinsic vague categorization and content.- 18. Pictorial representation and simplicity of categorization.- 19. Fuzzy visual thinking: interpreting and thinking with fuzzy pictures and fuzzy
data.- 20. Pictorial approximation: pictorial accuracy, vagueness and fuzziness.- 21. Pictorial vagueness as scientific practice: picture-making and the mathematical practice of fuzzy categorization.- 22. Conclusion.
